it job board logo
  • Home
  • Find IT Jobs
  • Register CV
  • Register as Employer
  • Contact us
  • Career Advice
  • Recruiting? Post a job
  • Sign in
  • Sign up
  • Home
  • Find IT Jobs
  • Register CV
  • Register as Employer
  • Contact us
  • Career Advice
Sorry, that job is no longer available. Here are some results that may be similar to the job you were looking for.

104 jobs found

Email me jobs like this
Refine Search
Current Search
senior network automation engineer
CICS Systems Programmer
Vaco LLC Birmingham, Alabama
Senior Systems Engineer III - CICS Systems Programmer Overview We are seeking a Senior Systems Engineer III - CICS Systems Programmer to support the integrity, performance, configuration, documentation, and reliability of server operating systems, hardware, storage, and/or application software within an assigned area of responsibility. This role is well suited for someone with strong mainframe, systems programming, troubleshooting, documentation, audit, disaster recovery, and performance management experience. Primary Responsibilities Maintain and monitor usage, performance, and resources for assigned systems, hardware, storage, and/or application software. Troubleshoot day-to-day technical issues related to assigned systems and platforms. Develop, configure, customize, document, and modify system configurations. Support patching and version maintenance activities. Schedule testing and maintain documentation related to audit requirements and disaster recovery planning. Maintain technical documentation for assigned software, hardware management tools, and appliances. Participate in audit and disaster recovery practices and activities. Participate in root-cause problem analysis across technology and business areas as needed. Perform capacity planning and performance tuning activities for assigned areas of responsibility. Assist in developing entry-level personnel through mentoring, technical training, and related support. Required Qualifications Seven years of experience in one or more of the following areas: system administration on Windows, Unix, or another distributed platform; systems programming on a mainframe platform; storage management within a large SAN environment; software development; internal audit; or information security. In lieu of seven years of experience, a bachelor's degree and five years of experience in one or more of the same areas is acceptable. Experience demonstrating strong logical reasoning, problem-solving, and analytical skills. Ability to translate technical knowledge in a way that supports another person's understanding. Experience working with team members, team leads, end users, business partners, and management during day-to-day operations and project-based activities. Ability to help ensure software and hardware functionality, performance, and availability. Willingness to develop and train entry-level staff on operational and systems management tasks related to the area of expertise. Experience managing day-to-day operational workload and assigned projects within established deadlines and timeframes. Organizational skills to work with vendors and notify management and team members of pending patches, upgrades, and functionality enhancements. Experience maintaining and monitoring usage, performance, and resources while troubleshooting day-to-day issues. Strong written and verbal communication skills. Experience documenting initial system configuration, change management, audit, disaster recovery, and business continuity information while keeping required system documentation up to date. Preferred Qualifications Bachelor's degree in IT or a related field. Advanced-level certification in mainframe, Db2 database, network, UNIX/Linux, or storage designations in a systems engineering track. Experience leading mid-scale IT infrastructure projects. Experience working in an IBM z/OS mainframe environment. Knowledge of CICS architecture, internal interfaces, and resource management. CICS systems programming experience. SMP/E experience. CICSPlex configuration and management experience. Understanding of common mainframe utilities and programming languages such as COBOL, JCL, SQL, and REXX. Performance and capacity management experience using BMC tools. CICS application programming experience. Familiarity with other core mainframe products such as Db2 and MQ. BMC tools support experience, including installation, configuration, and maintenance. Automation development experience using languages and tools such as REXX, Python, YAML, and Ansible. Ideal Candidate Experienced in supporting complex systems environments with a focus on reliability, performance, and availability. Comfortable troubleshooting operational issues and participating in root-cause analysis. Strong documentation habits across configuration, change management, audit, disaster recovery, and business continuity activities. Able to work with both technical and non-technical stakeholders across day-to-day operations and project work. Interested in mentoring and helping entry-level staff grow technically. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law . click apply for full job details
09/24/2026
Full time
Senior Systems Engineer III - CICS Systems Programmer Overview We are seeking a Senior Systems Engineer III - CICS Systems Programmer to support the integrity, performance, configuration, documentation, and reliability of server operating systems, hardware, storage, and/or application software within an assigned area of responsibility. This role is well suited for someone with strong mainframe, systems programming, troubleshooting, documentation, audit, disaster recovery, and performance management experience. Primary Responsibilities Maintain and monitor usage, performance, and resources for assigned systems, hardware, storage, and/or application software. Troubleshoot day-to-day technical issues related to assigned systems and platforms. Develop, configure, customize, document, and modify system configurations. Support patching and version maintenance activities. Schedule testing and maintain documentation related to audit requirements and disaster recovery planning. Maintain technical documentation for assigned software, hardware management tools, and appliances. Participate in audit and disaster recovery practices and activities. Participate in root-cause problem analysis across technology and business areas as needed. Perform capacity planning and performance tuning activities for assigned areas of responsibility. Assist in developing entry-level personnel through mentoring, technical training, and related support. Required Qualifications Seven years of experience in one or more of the following areas: system administration on Windows, Unix, or another distributed platform; systems programming on a mainframe platform; storage management within a large SAN environment; software development; internal audit; or information security. In lieu of seven years of experience, a bachelor's degree and five years of experience in one or more of the same areas is acceptable. Experience demonstrating strong logical reasoning, problem-solving, and analytical skills. Ability to translate technical knowledge in a way that supports another person's understanding. Experience working with team members, team leads, end users, business partners, and management during day-to-day operations and project-based activities. Ability to help ensure software and hardware functionality, performance, and availability. Willingness to develop and train entry-level staff on operational and systems management tasks related to the area of expertise. Experience managing day-to-day operational workload and assigned projects within established deadlines and timeframes. Organizational skills to work with vendors and notify management and team members of pending patches, upgrades, and functionality enhancements. Experience maintaining and monitoring usage, performance, and resources while troubleshooting day-to-day issues. Strong written and verbal communication skills. Experience documenting initial system configuration, change management, audit, disaster recovery, and business continuity information while keeping required system documentation up to date. Preferred Qualifications Bachelor's degree in IT or a related field. Advanced-level certification in mainframe, Db2 database, network, UNIX/Linux, or storage designations in a systems engineering track. Experience leading mid-scale IT infrastructure projects. Experience working in an IBM z/OS mainframe environment. Knowledge of CICS architecture, internal interfaces, and resource management. CICS systems programming experience. SMP/E experience. CICSPlex configuration and management experience. Understanding of common mainframe utilities and programming languages such as COBOL, JCL, SQL, and REXX. Performance and capacity management experience using BMC tools. CICS application programming experience. Familiarity with other core mainframe products such as Db2 and MQ. BMC tools support experience, including installation, configuration, and maintenance. Automation development experience using languages and tools such as REXX, Python, YAML, and Ansible. Ideal Candidate Experienced in supporting complex systems environments with a focus on reliability, performance, and availability. Comfortable troubleshooting operational issues and participating in root-cause analysis. Strong documentation habits across configuration, change management, audit, disaster recovery, and business continuity activities. Able to work with both technical and non-technical stakeholders across day-to-day operations and project work. Interested in mentoring and helping entry-level staff grow technically. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law . click apply for full job details
Full Stack Software Engineer, Lab Platform (LIMS)
insitro South San Francisco, California
The Opportunity insitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Human platform identifies novel, high-impact genetic intervention points, which our TherML platform translates into therapeutics-whether small molecules, biologics, or oligos. With multiple programs in metabolic disease and neuroscience advancing toward the clinic, and our first IND submission slated for the second half of this year, we are at a pivotal inflection point. To enable that mission, we need a software layer that ties together the scientific, automation, and machine learning platforms - that's our Lab Platform: a harness for science, built as an agentic workflow system that lets scientists drive the lab through an agent. Our bar is that everything in the lab should be agentically accessible (any action a scientist can take, an agent can take), agentically legible (agents understand what the data means in insitro's context, not just how to fetch it), and humanly verifiable (a scientist can always check what an agent did and why). This is real robotics, workflow automation, and applied agent tooling - and your users are in the building with you. You'll work across the stack - front end, backend, and the integrations that reach into instruments, Benchling, and agent runtimes - partnering closely with our machine learning, automation, and biology teams. Based in South San Francisco, this role reports directly to Senior Manager, Software Engineering and offers an in-person hybrid schedule of three days per week. We'll bring you up to speed in the domain of drug development and back your ideas with real trust and mentorship along the way. Responsibilities Full-Stack Ownership Ship Across the Stack: Build the React and TypeScript frontends scientists use every day, the Python services behind them, and integrations that reach instruments, Benchling, and agent runtimes Own It End to End: Take a feature from the first conversation with a scientist through the data model and UI to the alert that fires when it breaks Do the Normal SWE Things: Write code, review design docs, talk to users, and do code reviews that actually make the codebase better Agentic Tooling & Experimentation Chase User Appreciation: Ship things that make scientists say "OMG, this is amazing, thank you so much." Figure Out What's Actually Useful: Test agentic tooling ideas through prototypes, real users, and short iterative loops rather than betting on theory Move the Needle: Contribute work that meaningfully advances insitro's mission and the pace of drug development Cross-Functional Partnership Go Watch the Work: Spend time in the lab observing the workflow before you change it Partner Broadly: Collaborate closely with machine learning, automation, and biology teams to build tools people actually use Keep Humans in the Loop: Design for provenance and verifiability, so a scientist can always check what an agent did and why About You Experience & Qualifications Tenure: 2-4+ years of experience as a professional software engineer Engineering Fundamentals: Working knowledge of AWS or GCP, relational databases, and standard practices like version control and code review Core Competencies Product Instinct: You think like a product person - you want to know who the user is, what they're actually trying to do, and you have opinions about what to build Curious About the Science: You don't need a biology background, but you want to learn the domain rather than treat it as someone else's problem Comfortable in the Gray Area: You can reason clearly about the tradeoffs between quality and speed Fits the Team: You're up for writing design docs, having opinions in code review, and yes, goofing around on Slack. Preferred Qualifications Domain Experience: Experience with LIMS, lab automation, or another life sciences domain Agent/LLM Experience: Experience building with LLMs or agent frameworks - tool and skill design, evaluation, or getting a model to behave reliably against real systems Stack Familiarity: Experience with Django, FastAPI, SQLAlchemy, React, TypeScript, PostgreSQL, Docker, or AWS Compensation & Benefits at insitro Our target starting salary for successful US-based applicants for this role is $111,000 - $140,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. In addition, insitro also provides our employees: 401(k) plan with employer matching for contributions Excellent medical, dental, and vision coverage as well as mental health and well-being support Open, flexible vacation policy Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc) Quarterly budget for books and online courses for self-development New hire stipend for home office setup Monthly cell phone & internet stipend Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. Please be aware of recruitment scams: we never request payments, all recruitment communications are , and if in doubt, contact us at . About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro's approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit .
09/24/2026
Full time
The Opportunity insitro is a physical AI company dedicated to unlocking causal human biology and accelerating the delivery of better medicines to patients. Our unique Virtual Human platform identifies novel, high-impact genetic intervention points, which our TherML platform translates into therapeutics-whether small molecules, biologics, or oligos. With multiple programs in metabolic disease and neuroscience advancing toward the clinic, and our first IND submission slated for the second half of this year, we are at a pivotal inflection point. To enable that mission, we need a software layer that ties together the scientific, automation, and machine learning platforms - that's our Lab Platform: a harness for science, built as an agentic workflow system that lets scientists drive the lab through an agent. Our bar is that everything in the lab should be agentically accessible (any action a scientist can take, an agent can take), agentically legible (agents understand what the data means in insitro's context, not just how to fetch it), and humanly verifiable (a scientist can always check what an agent did and why). This is real robotics, workflow automation, and applied agent tooling - and your users are in the building with you. You'll work across the stack - front end, backend, and the integrations that reach into instruments, Benchling, and agent runtimes - partnering closely with our machine learning, automation, and biology teams. Based in South San Francisco, this role reports directly to Senior Manager, Software Engineering and offers an in-person hybrid schedule of three days per week. We'll bring you up to speed in the domain of drug development and back your ideas with real trust and mentorship along the way. Responsibilities Full-Stack Ownership Ship Across the Stack: Build the React and TypeScript frontends scientists use every day, the Python services behind them, and integrations that reach instruments, Benchling, and agent runtimes Own It End to End: Take a feature from the first conversation with a scientist through the data model and UI to the alert that fires when it breaks Do the Normal SWE Things: Write code, review design docs, talk to users, and do code reviews that actually make the codebase better Agentic Tooling & Experimentation Chase User Appreciation: Ship things that make scientists say "OMG, this is amazing, thank you so much." Figure Out What's Actually Useful: Test agentic tooling ideas through prototypes, real users, and short iterative loops rather than betting on theory Move the Needle: Contribute work that meaningfully advances insitro's mission and the pace of drug development Cross-Functional Partnership Go Watch the Work: Spend time in the lab observing the workflow before you change it Partner Broadly: Collaborate closely with machine learning, automation, and biology teams to build tools people actually use Keep Humans in the Loop: Design for provenance and verifiability, so a scientist can always check what an agent did and why About You Experience & Qualifications Tenure: 2-4+ years of experience as a professional software engineer Engineering Fundamentals: Working knowledge of AWS or GCP, relational databases, and standard practices like version control and code review Core Competencies Product Instinct: You think like a product person - you want to know who the user is, what they're actually trying to do, and you have opinions about what to build Curious About the Science: You don't need a biology background, but you want to learn the domain rather than treat it as someone else's problem Comfortable in the Gray Area: You can reason clearly about the tradeoffs between quality and speed Fits the Team: You're up for writing design docs, having opinions in code review, and yes, goofing around on Slack. Preferred Qualifications Domain Experience: Experience with LIMS, lab automation, or another life sciences domain Agent/LLM Experience: Experience building with LLMs or agent frameworks - tool and skill design, evaluation, or getting a model to behave reliably against real systems Stack Familiarity: Experience with Django, FastAPI, SQLAlchemy, React, TypeScript, PostgreSQL, Docker, or AWS Compensation & Benefits at insitro Our target starting salary for successful US-based applicants for this role is $111,000 - $140,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. In addition, insitro also provides our employees: 401(k) plan with employer matching for contributions Excellent medical, dental, and vision coverage as well as mental health and well-being support Open, flexible vacation policy Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc) Quarterly budget for books and online courses for self-development New hire stipend for home office setup Monthly cell phone & internet stipend Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. Please be aware of recruitment scams: we never request payments, all recruitment communications are , and if in doubt, contact us at . About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro's approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit .
Sr. Software Engineer
Blue Origin Seattle, Washington
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! Blue Origin is pioneering the future of space-based communications with TeraWave, a revolutionary satellite communications network designed to deliver symmetrical data speeds of up to 6 Tbps anywhere on Earth. This multi-orbit constellation will consist of optically interconnected satellites in low Earth orbit (LEO) and medium Earth orbit (MEO), providing enterprise-grade connectivity for critical operations worldwide. About This Role Blue Origin is seeking a Senior Software Development Engineer to join the Network and Software Engineering team supporting TeraWave in the Greater Seattle Area or the Bay Area. In this role, you build the foundational layer-3 platform infrastructure, the operating nervous system, deployed across TeraWave satellites, user terminals, gateways and the PoP data-plane. Responsibilities include but are not limited to: Build high-performance packet processing applications in C/C++ using DPDK and FD.io VPP. Develop and maintain Linux kernel modules and device drivers to support custom hardware and platform requirements. Develop drivers and software interfaces for hardware accelerators, SmartNICs, and FPGA-offload engines. Debug system-level performance issues, minimize context switching, and tune the networking stack for satellite links. Implement secure boot, runtime security monitoring, and hardware-backed credential management across embedded platforms. Provide technical leadership, conduct deep-dive code reviews, and mentor junior engineers on low-level systems programming. Minimum Qualifications Bachelor's degree in computer science, computer engineering, or related STEM discipline, or 10+ years software development experience. At least 8 years of C or C++ experience in Linux or embedded environments. Deep Linux kernel knowledge, including driver development, memory management, and system-level debugging. Experience with system-level debugging tools such as GDB, perf, and eBPF. Experience with Buildroot, Yocto, Bazel, or comparable build systems. Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Preferred Qualifications Infrastructure experience supporting large distributed systems or device fleets at scale. Proficiency with Rust or Python for systems tooling and automation. Strong knowledge of TCP/IP, UDP, Ethernet, Linux networking, and custom routing protocols. Experience with mission-critical aerospace, automotive, medical, or similarly high-reliability systems. Ability to troubleshoot down to assembly code and hardware-level diagnostics. Base Pay Range for: WA applicants is $248,830.00 - $348,361.65 Other site ranges may differ Culture Statement Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check Required for all positions: Blue's Standard Background Check Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical Benefits Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. Stock Options for all regular employees (working at least 20 hours/week) Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details. Equal Employment Opportunity Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "Know Your Rights," please see here. Affirmative Action and Disability Accommodation Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at . Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.
09/24/2026
Full time
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! Blue Origin is pioneering the future of space-based communications with TeraWave, a revolutionary satellite communications network designed to deliver symmetrical data speeds of up to 6 Tbps anywhere on Earth. This multi-orbit constellation will consist of optically interconnected satellites in low Earth orbit (LEO) and medium Earth orbit (MEO), providing enterprise-grade connectivity for critical operations worldwide. About This Role Blue Origin is seeking a Senior Software Development Engineer to join the Network and Software Engineering team supporting TeraWave in the Greater Seattle Area or the Bay Area. In this role, you build the foundational layer-3 platform infrastructure, the operating nervous system, deployed across TeraWave satellites, user terminals, gateways and the PoP data-plane. Responsibilities include but are not limited to: Build high-performance packet processing applications in C/C++ using DPDK and FD.io VPP. Develop and maintain Linux kernel modules and device drivers to support custom hardware and platform requirements. Develop drivers and software interfaces for hardware accelerators, SmartNICs, and FPGA-offload engines. Debug system-level performance issues, minimize context switching, and tune the networking stack for satellite links. Implement secure boot, runtime security monitoring, and hardware-backed credential management across embedded platforms. Provide technical leadership, conduct deep-dive code reviews, and mentor junior engineers on low-level systems programming. Minimum Qualifications Bachelor's degree in computer science, computer engineering, or related STEM discipline, or 10+ years software development experience. At least 8 years of C or C++ experience in Linux or embedded environments. Deep Linux kernel knowledge, including driver development, memory management, and system-level debugging. Experience with system-level debugging tools such as GDB, perf, and eBPF. Experience with Buildroot, Yocto, Bazel, or comparable build systems. Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Preferred Qualifications Infrastructure experience supporting large distributed systems or device fleets at scale. Proficiency with Rust or Python for systems tooling and automation. Strong knowledge of TCP/IP, UDP, Ethernet, Linux networking, and custom routing protocols. Experience with mission-critical aerospace, automotive, medical, or similarly high-reliability systems. Ability to troubleshoot down to assembly code and hardware-level diagnostics. Base Pay Range for: WA applicants is $248,830.00 - $348,361.65 Other site ranges may differ Culture Statement Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check Required for all positions: Blue's Standard Background Check Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical Benefits Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. Stock Options for all regular employees (working at least 20 hours/week) Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details. Equal Employment Opportunity Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "Know Your Rights," please see here. Affirmative Action and Disability Accommodation Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at . Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.
Senior Multi-Cloud Infrastructure and Security Architect
Zealogics.com New York, New York
Key Responsibilities Key Responsibilities 1. Hybrid & Multi-Cloud Architecture Design • Architect and implement secure, enterprise-grade multi-cloud infrastructure across AWS and Azure (GCP is a plus), ensuring alignment with benchmarks and corporate security policies. • Adopt complex hybrid connectivity solutions to link on-premise and cloud based systems. • Establish scalable IAM hierarchies, cross-account trust relationships, and organizational units across multiple cloud tenants. 2. Infrastructure Resiliency & Disaster Recovery (DR) • Architect high-availability (HA) and disaster recovery topologies across disparate cloud providers to eliminate single points of failure (e.g., active-active cross-cloud replication). • Develop, document, and test automated failover mechanisms for critical enterprise workloads to ensure zero-downtime objectives. 3. Infrastructure as Code (IaC) & Automation • Define, build, and maintain the the IaC repository using automation platforms. • Implement secure CI/CD deployment pipelines (Jenkins, GitHub Actions) embedded with automated security guardrails and static analysis tools. 4. Technical Advisory & Collaboration • Serve as the primary subject matter expert (SME) on cloud infrastructure for the core Cyber Security team, translating security objectives into concrete cloud configurations. • Collaborate with traditional on-prem network and sysadmin teams to systematically migrate or extend legacy workloads to the cloud without disrupting active operations. Required Skills & Experience • Enterprise Scale: Minimum 8+ years of experience managing, architecture-designing, and deploying IT infrastructure within a Fortune 500 or equivalent large-scale enterprise. • Multi-Cloud Mastery: Deep, hands-on production experience with at least two major cloud vendors (AWS and Azure are highly preferred). You know their native networking, identity systems, and edge security controls inside out. • Networking: Strong foundational background in traditional on-premises networking (firewalls, load balancers, VLANs, proxies) and how those concepts map directly to cloud-native constructs (VPCs, VNets, Transit Gateways). • Automation-First Mindset: Advanced proficiency with automation toolsets. • Pragmatic Security Knowledge: While you don't need to be a penetration tester, you must thoroughly understand cloud security frameworks and modern identity protocols. • Scripting & Systems Proficiency: Strong proficiency with Python programming, Shell scripting, and Unix/Linux operating systems. Desired Certifications (While your hands-on experience matters most, we highly value the following credentials) • AWS Certified Solutions Architect - Professional / AWS Certified Security - Specialty • Microsoft Certified: Azure Solutions Architect Expert / Azure Security Engineer Associate • CCSP (Certified Cloud Security Professional) or equivalent infrastructure-focused certifications Preferred / Plus Qualifications Familiarity with Secure Email Gateway (SEG) products such as Proofpoint and Fortimail Familiarity with Exchange-Online security products such as Sublime security and Abnormal Email Security Experience with large scale email broadcast or bulk messaging platforms Exposure to compliance frameworks, audits, and regulatory examinations Experience integrating email platforms with monitoring, logging, and AIOps tooling Prior experience mentoring senior or mid level engineers Key Attributes Ability to work independently on complex, ambiguous problems Strong analytical and troubleshooting skills Excellent written and verbal communication skills Self driven learner with curiosity for modern tooling and AI assisted development Collaborative mindset with the ability to influence across teams and functions Why Join Us Work on mission critical, globally distributed email security platforms Solve complex security and compliance challenges at enterprise scale Collaborate with highly skilled engineers in a strong engineering culture Opportunity to shape the long term evolution of enterprise email security architecture Rate range-$60-$65
09/24/2026
Contractor
Key Responsibilities Key Responsibilities 1. Hybrid & Multi-Cloud Architecture Design • Architect and implement secure, enterprise-grade multi-cloud infrastructure across AWS and Azure (GCP is a plus), ensuring alignment with benchmarks and corporate security policies. • Adopt complex hybrid connectivity solutions to link on-premise and cloud based systems. • Establish scalable IAM hierarchies, cross-account trust relationships, and organizational units across multiple cloud tenants. 2. Infrastructure Resiliency & Disaster Recovery (DR) • Architect high-availability (HA) and disaster recovery topologies across disparate cloud providers to eliminate single points of failure (e.g., active-active cross-cloud replication). • Develop, document, and test automated failover mechanisms for critical enterprise workloads to ensure zero-downtime objectives. 3. Infrastructure as Code (IaC) & Automation • Define, build, and maintain the the IaC repository using automation platforms. • Implement secure CI/CD deployment pipelines (Jenkins, GitHub Actions) embedded with automated security guardrails and static analysis tools. 4. Technical Advisory & Collaboration • Serve as the primary subject matter expert (SME) on cloud infrastructure for the core Cyber Security team, translating security objectives into concrete cloud configurations. • Collaborate with traditional on-prem network and sysadmin teams to systematically migrate or extend legacy workloads to the cloud without disrupting active operations. Required Skills & Experience • Enterprise Scale: Minimum 8+ years of experience managing, architecture-designing, and deploying IT infrastructure within a Fortune 500 or equivalent large-scale enterprise. • Multi-Cloud Mastery: Deep, hands-on production experience with at least two major cloud vendors (AWS and Azure are highly preferred). You know their native networking, identity systems, and edge security controls inside out. • Networking: Strong foundational background in traditional on-premises networking (firewalls, load balancers, VLANs, proxies) and how those concepts map directly to cloud-native constructs (VPCs, VNets, Transit Gateways). • Automation-First Mindset: Advanced proficiency with automation toolsets. • Pragmatic Security Knowledge: While you don't need to be a penetration tester, you must thoroughly understand cloud security frameworks and modern identity protocols. • Scripting & Systems Proficiency: Strong proficiency with Python programming, Shell scripting, and Unix/Linux operating systems. Desired Certifications (While your hands-on experience matters most, we highly value the following credentials) • AWS Certified Solutions Architect - Professional / AWS Certified Security - Specialty • Microsoft Certified: Azure Solutions Architect Expert / Azure Security Engineer Associate • CCSP (Certified Cloud Security Professional) or equivalent infrastructure-focused certifications Preferred / Plus Qualifications Familiarity with Secure Email Gateway (SEG) products such as Proofpoint and Fortimail Familiarity with Exchange-Online security products such as Sublime security and Abnormal Email Security Experience with large scale email broadcast or bulk messaging platforms Exposure to compliance frameworks, audits, and regulatory examinations Experience integrating email platforms with monitoring, logging, and AIOps tooling Prior experience mentoring senior or mid level engineers Key Attributes Ability to work independently on complex, ambiguous problems Strong analytical and troubleshooting skills Excellent written and verbal communication skills Self driven learner with curiosity for modern tooling and AI assisted development Collaborative mindset with the ability to influence across teams and functions Why Join Us Work on mission critical, globally distributed email security platforms Solve complex security and compliance challenges at enterprise scale Collaborate with highly skilled engineers in a strong engineering culture Opportunity to shape the long term evolution of enterprise email security architecture Rate range-$60-$65
Network Security Engineer
Thomas Edwards Group Addison, Texas
Job Description Job Description Network Security Engineer 11001 A growing technology organization is seeking a Senior Network Security Engineer to join its centralized Security Engineering team. This is a hands-on technical role responsible for designing, implementing, and maintaining network security infrastructure that protects a large-scale, high-performance computing and cloud environment. This position will contribute directly to the controls, automation, and operational practices required to secure complex infrastructure at scale. The Senior Network Security Engineer will help design, develop, and deliver critical network security capabilities across enterprise-scale systems and projects. The ideal candidate brings deep technical expertise in network security architecture and controls, along with the judgment needed to solve complex problems while balancing security requirements, operational needs, and delivery timelines. Working closely with security leadership and cross-functional infrastructure, cloud, and IT teams, this individual will help strengthen the organization's security posture while serving as a subject matter expert and mentor to other engineers. Responsibilities Contribute to the design, implementation, and delivery of scalable network security architecture and controls, including firewalls, IDS/IPS, and VPN technologies across on-premises and cloud environments. Serve as a subject matter expert for network security technologies, providing technical guidance and direction on complex security challenges. Apply strong technical judgment to resolve network security issues and make appropriate trade-offs between security requirements, operational needs, and delivery objectives. Collaborate with infrastructure, cloud, IT operations, and other cross-functional teams to communicate technical decisions, coordinate implementation efforts, and maintain alignment. Develop and maintain network security standards, policies, procedures, and technical documentation. Support network segmentation and micro-segmentation initiatives, providing expertise related to traffic flows, access controls, and policy enforcement. Participate in security architecture reviews for new projects, systems, and third-party integrations to ensure network security requirements are appropriately addressed. Identify and implement opportunities for process improvement, automation, and security tooling enhancements. Mentor junior security engineers and contribute to the technical growth of the security engineering team. Requirements 7+ years of experience in network security engineering, including hands-on experience across trusted, untrusted, and DMZ environments. Strong understanding of network protocols and the OSI model, with practical experience supporting TCP/UDP-based applications, routing, switching, and load balancing. Experience designing and securing both on-premises and cloud network environments using platforms such as AWS, Azure, or GCP. Demonstrated ability to identify and deliver process improvements, automation opportunities, and tooling enhancements within a security engineering environment. Experience with security monitoring tools and SIEM platforms, including investigating and responding to network-based security threats. Strong knowledge of recognized security frameworks and hardening standards such as NIST, CIS Benchmarks, or ISO 27001. Strong communication skills with the ability to clearly explain technical decisions, risks, and trade-offs to both technical stakeholders and leadership. Nice to Have Relevant security or networking certifications such as CCNP Security, PCNSE, CISSP, or equivalent. Experience with VXLAN EVPN data center architecture. Background in Security Operations Center (SOC) environments or experience working with managed security service providers (MSSPs). Experience with firewall automation. Company Description Thomas Edwards Group is an Executive Search Firm specializing in the direct hire and interim placement of Accounting, Finance, HR and IT professionals. We've been in business since 1997 and the Dallas Business Journal has ranked us a Top Search Firm in Dallas and one of the "Best Places to Work" multiple times. Thomas Edwards Group also made the Inc. 5000 list in 2016 and our award-winning team of Search Consultants, which rank among the best and most experienced in the area, includes MBAs, CPAs, former Big 4 Professionals, Controllers, IT Search Professionals, Finance/Banking, and Business Professionals. Company Description Thomas Edwards Group is an Executive Search Firm specializing in the direct hire and interim placement of Accounting, Finance, HR and IT professionals. We've been in business since 1997 and the Dallas Business Journal has ranked us a Top Search Firm in Dallas and one of the "Best Places to Work" multiple times. Thomas Edwards Group also made the Inc. 5000 list in 2016 and our award-winning team of Search Consultants, which rank among the best and most experienced in the area, includes MBAs, CPAs, former Big 4 Professionals, Controllers, IT Search Professionals, Finance/Banking, and Business Professionals.
09/24/2026
Full time
Job Description Job Description Network Security Engineer 11001 A growing technology organization is seeking a Senior Network Security Engineer to join its centralized Security Engineering team. This is a hands-on technical role responsible for designing, implementing, and maintaining network security infrastructure that protects a large-scale, high-performance computing and cloud environment. This position will contribute directly to the controls, automation, and operational practices required to secure complex infrastructure at scale. The Senior Network Security Engineer will help design, develop, and deliver critical network security capabilities across enterprise-scale systems and projects. The ideal candidate brings deep technical expertise in network security architecture and controls, along with the judgment needed to solve complex problems while balancing security requirements, operational needs, and delivery timelines. Working closely with security leadership and cross-functional infrastructure, cloud, and IT teams, this individual will help strengthen the organization's security posture while serving as a subject matter expert and mentor to other engineers. Responsibilities Contribute to the design, implementation, and delivery of scalable network security architecture and controls, including firewalls, IDS/IPS, and VPN technologies across on-premises and cloud environments. Serve as a subject matter expert for network security technologies, providing technical guidance and direction on complex security challenges. Apply strong technical judgment to resolve network security issues and make appropriate trade-offs between security requirements, operational needs, and delivery objectives. Collaborate with infrastructure, cloud, IT operations, and other cross-functional teams to communicate technical decisions, coordinate implementation efforts, and maintain alignment. Develop and maintain network security standards, policies, procedures, and technical documentation. Support network segmentation and micro-segmentation initiatives, providing expertise related to traffic flows, access controls, and policy enforcement. Participate in security architecture reviews for new projects, systems, and third-party integrations to ensure network security requirements are appropriately addressed. Identify and implement opportunities for process improvement, automation, and security tooling enhancements. Mentor junior security engineers and contribute to the technical growth of the security engineering team. Requirements 7+ years of experience in network security engineering, including hands-on experience across trusted, untrusted, and DMZ environments. Strong understanding of network protocols and the OSI model, with practical experience supporting TCP/UDP-based applications, routing, switching, and load balancing. Experience designing and securing both on-premises and cloud network environments using platforms such as AWS, Azure, or GCP. Demonstrated ability to identify and deliver process improvements, automation opportunities, and tooling enhancements within a security engineering environment. Experience with security monitoring tools and SIEM platforms, including investigating and responding to network-based security threats. Strong knowledge of recognized security frameworks and hardening standards such as NIST, CIS Benchmarks, or ISO 27001. Strong communication skills with the ability to clearly explain technical decisions, risks, and trade-offs to both technical stakeholders and leadership. Nice to Have Relevant security or networking certifications such as CCNP Security, PCNSE, CISSP, or equivalent. Experience with VXLAN EVPN data center architecture. Background in Security Operations Center (SOC) environments or experience working with managed security service providers (MSSPs). Experience with firewall automation. Company Description Thomas Edwards Group is an Executive Search Firm specializing in the direct hire and interim placement of Accounting, Finance, HR and IT professionals. We've been in business since 1997 and the Dallas Business Journal has ranked us a Top Search Firm in Dallas and one of the "Best Places to Work" multiple times. Thomas Edwards Group also made the Inc. 5000 list in 2016 and our award-winning team of Search Consultants, which rank among the best and most experienced in the area, includes MBAs, CPAs, former Big 4 Professionals, Controllers, IT Search Professionals, Finance/Banking, and Business Professionals. Company Description Thomas Edwards Group is an Executive Search Firm specializing in the direct hire and interim placement of Accounting, Finance, HR and IT professionals. We've been in business since 1997 and the Dallas Business Journal has ranked us a Top Search Firm in Dallas and one of the "Best Places to Work" multiple times. Thomas Edwards Group also made the Inc. 5000 list in 2016 and our award-winning team of Search Consultants, which rank among the best and most experienced in the area, includes MBAs, CPAs, former Big 4 Professionals, Controllers, IT Search Professionals, Finance/Banking, and Business Professionals.
Senior Associate Solutions Designer, Automation
Visa Austin, Texas
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description You will be part of a dynamic team of solution engineers who deliver, integrate & architect highly available and scalable infrastructure solutions for on-prem and public clouds, focused on Kubernetes, cloud technologies and automation skills. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to drive next-generation solution design and architecture. Essential Functions Develop and architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Develop integrations with AI/ML frameworks, chatbots, and agents to enhance automation Lead technical initiatives leveraging agentic AI, LLMs to automate workflows and improve developer experience Deliver secure, highly available and scalable infrastructure solutions through automation Experienced with docker, container and Kubernetes for container orchestration Hands-on experience in driving the design and implementation of solutions on one of the major public clouds, such as AWS, GCP, Azure with expertise in assessing, developing or migrating well architected applications for containers and cloud Design and build using infrastructure as code and automated testing Develop standard automation templates for deployment of public cloud infrastructure and platform components This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications • 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) • 5 or more years of relevant work experience in systems architecture, engineering or development including experience in cloud automation frameworks, Hybrid cloud infrastructure deployments with a bachelor's degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges and converting business processes into automated agentic workflows • Experience in designing, building, and running production systems in cloud or migrating to the cloud and or containers, practicing infrastructure as code, automated testing, and automating infrastructure tasks • Automation championing through robust automation using Python, Java, and Go to streamline end-end delivery of automated application deployment • Best in class Software Developer including Continuous Integration and Continuous Deployment (CICD) pipeline tools such Jenkins and proficient in git • Solid understanding of Linux/Unix systems, networking protocols, certificate management, secret management, system design, cloud platforms (AWS, Azure, GCP), and containerization (Kubernetes, Docker) • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Demonstrated experience with hands-on Infrastructure as Code (IaC) development and deployment in Hybrid Cloud (AWS, Azure and GCP) deployments • Knowledge of AI/ML and Generative AI algorithms, and their architectural design • Proficient with container deployments and troubleshooting in Kubernetes environments Information for US Applicants For roles located in the US, the estimated salary range for this position is $110,700.00 to $ 171,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description You will be part of a dynamic team of solution engineers who deliver, integrate & architect highly available and scalable infrastructure solutions for on-prem and public clouds, focused on Kubernetes, cloud technologies and automation skills. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to drive next-generation solution design and architecture. Essential Functions Develop and architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Develop integrations with AI/ML frameworks, chatbots, and agents to enhance automation Lead technical initiatives leveraging agentic AI, LLMs to automate workflows and improve developer experience Deliver secure, highly available and scalable infrastructure solutions through automation Experienced with docker, container and Kubernetes for container orchestration Hands-on experience in driving the design and implementation of solutions on one of the major public clouds, such as AWS, GCP, Azure with expertise in assessing, developing or migrating well architected applications for containers and cloud Design and build using infrastructure as code and automated testing Develop standard automation templates for deployment of public cloud infrastructure and platform components This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications • 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) • 5 or more years of relevant work experience in systems architecture, engineering or development including experience in cloud automation frameworks, Hybrid cloud infrastructure deployments with a bachelor's degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges and converting business processes into automated agentic workflows • Experience in designing, building, and running production systems in cloud or migrating to the cloud and or containers, practicing infrastructure as code, automated testing, and automating infrastructure tasks • Automation championing through robust automation using Python, Java, and Go to streamline end-end delivery of automated application deployment • Best in class Software Developer including Continuous Integration and Continuous Deployment (CICD) pipeline tools such Jenkins and proficient in git • Solid understanding of Linux/Unix systems, networking protocols, certificate management, secret management, system design, cloud platforms (AWS, Azure, GCP), and containerization (Kubernetes, Docker) • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Demonstrated experience with hands-on Infrastructure as Code (IaC) development and deployment in Hybrid Cloud (AWS, Azure and GCP) deployments • Knowledge of AI/ML and Generative AI algorithms, and their architectural design • Proficient with container deployments and troubleshooting in Kubernetes environments Information for US Applicants For roles located in the US, the estimated salary range for this position is $110,700.00 to $ 171,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
Senior Automation Engineer
JLL Monee, Illinois
This job is with JLL, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Sr. Automation Engineer - JLL What this job involves: We are seeking a Senior Automation Engineer to design, develop, and implement automation control systems for industrial processes and warehouse distribution equipment. This role requires expertise in engineering principles, programming, and control system technologies, with a focus on maximizing the reliability and performance of conveyors, sortation systems, scanners, cameras, print-and-apply systems, and SCADA devices. The Senior Automation Engineer will ensure all work aligns with company policies and procedures, with safety as the highest priority. What your day-to-day will look like: Serve as site technical expert in automation control systems and lead the site's automation engineering program. Set program goals, delegate work, and mentor Automation Engineers and Apprentices to meet client objectives and safety/technical requirements. Design, develop, implement, and optimize control systems and software; maintain and troubleshoot automation equipment, including PLC/PC controllers and industrial networks. Govern all automation documentation and change management processes for the site. Collaborate with operations, engineering, and support teams to optimize material handling systems and deliver projects. Provide advanced troubleshooting and escalation support, including remote assistance, root cause analysis, and vendor coordination. Monitor system performance, drive continuous improvement projects, and communicate technical issues, timelines, and workarounds to stakeholders. Required Qualifications: Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, OR 3+ years equivalent professional experience. 5+ years of PLC-controlled automation experience, including Ladder Logic and structured programming (Siemens, Allen-Bradley, or Codesys) and issue diagnosis in production environments. 2+ years with robotics work cells, control systems, electrical theory, controls components, and automated equipment. Leadership experience in directing, training, and mentoring automation engineers. Proficiency in CMMS use, troubleshooting, and coordinating maintenance with multiple stakeholders. Strong communication skills, policy interpretation, and continuous improvement mindset. Ability to adapt to evolving technologies and build scalable automation solutions. Preferred Qualifications: Advanced degree in relevant field plus 5+ years professional experience. 5+ years in PLC programming, troubleshooting, and modification, as well as HMI and control networks, SCADA systems, and motor control systems (VFDs, DC drives, starters). Industrial electrical experience with 480V 3-phase, 110 VAC, 24VDC, and reading/modifying mechanical and electrical drawings. Proficiency in programming tools such as RSLogix5000 Studio, FT View, and other control software; controls design and systems integration experience. Field service engineering and technical training experience, including conveyors, sortation, ASRS, and industrial robotics. Proven ability in remote technical support and driving continuous improvement in automated systems. Experience with advanced automation control systems and programmatic solutions for equipment optimization. At JLL, we work together to create a brighter future for our clients, colleagues, and communities. Our collaborative culture-locally and globally-drives innovative solutions. We value wellbeing, inclusivity, and belonging, ensuring every team member feels supported. JLL is proud to be an Equal Opportunity Employer committed to diversity and inclusion. This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 110 000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -Monee, IL Job Tags: RME If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.
09/24/2026
Full time
This job is with JLL, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Sr. Automation Engineer - JLL What this job involves: We are seeking a Senior Automation Engineer to design, develop, and implement automation control systems for industrial processes and warehouse distribution equipment. This role requires expertise in engineering principles, programming, and control system technologies, with a focus on maximizing the reliability and performance of conveyors, sortation systems, scanners, cameras, print-and-apply systems, and SCADA devices. The Senior Automation Engineer will ensure all work aligns with company policies and procedures, with safety as the highest priority. What your day-to-day will look like: Serve as site technical expert in automation control systems and lead the site's automation engineering program. Set program goals, delegate work, and mentor Automation Engineers and Apprentices to meet client objectives and safety/technical requirements. Design, develop, implement, and optimize control systems and software; maintain and troubleshoot automation equipment, including PLC/PC controllers and industrial networks. Govern all automation documentation and change management processes for the site. Collaborate with operations, engineering, and support teams to optimize material handling systems and deliver projects. Provide advanced troubleshooting and escalation support, including remote assistance, root cause analysis, and vendor coordination. Monitor system performance, drive continuous improvement projects, and communicate technical issues, timelines, and workarounds to stakeholders. Required Qualifications: Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, OR 3+ years equivalent professional experience. 5+ years of PLC-controlled automation experience, including Ladder Logic and structured programming (Siemens, Allen-Bradley, or Codesys) and issue diagnosis in production environments. 2+ years with robotics work cells, control systems, electrical theory, controls components, and automated equipment. Leadership experience in directing, training, and mentoring automation engineers. Proficiency in CMMS use, troubleshooting, and coordinating maintenance with multiple stakeholders. Strong communication skills, policy interpretation, and continuous improvement mindset. Ability to adapt to evolving technologies and build scalable automation solutions. Preferred Qualifications: Advanced degree in relevant field plus 5+ years professional experience. 5+ years in PLC programming, troubleshooting, and modification, as well as HMI and control networks, SCADA systems, and motor control systems (VFDs, DC drives, starters). Industrial electrical experience with 480V 3-phase, 110 VAC, 24VDC, and reading/modifying mechanical and electrical drawings. Proficiency in programming tools such as RSLogix5000 Studio, FT View, and other control software; controls design and systems integration experience. Field service engineering and technical training experience, including conveyors, sortation, ASRS, and industrial robotics. Proven ability in remote technical support and driving continuous improvement in automated systems. Experience with advanced automation control systems and programmatic solutions for equipment optimization. At JLL, we work together to create a brighter future for our clients, colleagues, and communities. Our collaborative culture-locally and globally-drives innovative solutions. We value wellbeing, inclusivity, and belonging, ensuring every team member feels supported. JLL is proud to be an Equal Opportunity Employer committed to diversity and inclusion. This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 110 000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -Monee, IL Job Tags: RME If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.
GXO Logistics
Senior Automation Engineer - Warehouse & Logistics Systems
GXO Logistics Dallas, Texas
GXO Logistics is seeking a Senior Automation Engineer to lead the design, deployment and optimization of automation in our transportation and warehousing operations. In this role, you will specify and integrate robotics, conveyors, sortation, and control systems, develop PLC and WCS logic, and use data to improve throughput, accuracy and safety. You'll partner with operations, IT and vendors to deliver new sites and retrofits, manage projects from concept through go-live, and drive continuous improvement. GXO offers a performance-driven, collaborative culture with global exposure, career growth and the chance to shape the future of logistics. Responsibilities Design and specify automation solutions for warehousing and logistics operations, including robotics, conveyors, sorters and control systems. Develop and optimize PLC, WCS and related control logic to improve throughput, accuracy and reliability. Lead automation projects from concept and requirements through design, installation, testing and go-live. Analyze operational data and KPIs to identify bottlenecks and drive continuous improvement initiatives. Collaborate with operations, IT, safety and external vendors to ensure successful integration of new technologies. Conduct system troubleshooting, root cause analysis and implement corrective actions to minimize downtime. Ensure compliance with safety standards and support risk assessments for automated equipment and processes. Create technical documentation, drawings and specifications for automation equipment and layouts. Train operations and maintenance teams on new automated systems and best practices. Support multi-site and global initiatives to standardize and scale automation solutions across GXO's network. Required Skills PLC programming (e.g., Allen-Bradley, Siemens) Industrial robotics integration Warehouse control systems (WCS/WMS) Industrial networking and fieldbuses Data analysis and KPI development Auto CAD or similar for layouts Root cause analysis and continuous improvement Project management Safety systems and risk assessments Scripting or coding (Python, SQL or similar)
09/24/2026
Full time
GXO Logistics is seeking a Senior Automation Engineer to lead the design, deployment and optimization of automation in our transportation and warehousing operations. In this role, you will specify and integrate robotics, conveyors, sortation, and control systems, develop PLC and WCS logic, and use data to improve throughput, accuracy and safety. You'll partner with operations, IT and vendors to deliver new sites and retrofits, manage projects from concept through go-live, and drive continuous improvement. GXO offers a performance-driven, collaborative culture with global exposure, career growth and the chance to shape the future of logistics. Responsibilities Design and specify automation solutions for warehousing and logistics operations, including robotics, conveyors, sorters and control systems. Develop and optimize PLC, WCS and related control logic to improve throughput, accuracy and reliability. Lead automation projects from concept and requirements through design, installation, testing and go-live. Analyze operational data and KPIs to identify bottlenecks and drive continuous improvement initiatives. Collaborate with operations, IT, safety and external vendors to ensure successful integration of new technologies. Conduct system troubleshooting, root cause analysis and implement corrective actions to minimize downtime. Ensure compliance with safety standards and support risk assessments for automated equipment and processes. Create technical documentation, drawings and specifications for automation equipment and layouts. Train operations and maintenance teams on new automated systems and best practices. Support multi-site and global initiatives to standardize and scale automation solutions across GXO's network. Required Skills PLC programming (e.g., Allen-Bradley, Siemens) Industrial robotics integration Warehouse control systems (WCS/WMS) Industrial networking and fieldbuses Data analysis and KPI development Auto CAD or similar for layouts Root cause analysis and continuous improvement Project management Safety systems and risk assessments Scripting or coding (Python, SQL or similar)
GXO Logistics
Senior Automation Engineer - Warehouse & Logistics Systems
GXO Logistics Arlington, Texas
GXO Logistics is seeking a Senior Automation Engineer to lead the design, deployment and optimization of automation in our transportation and warehousing operations. In this role, you will specify and integrate robotics, conveyors, sortation, and control systems, develop PLC and WCS logic, and use data to improve throughput, accuracy and safety. You'll partner with operations, IT and vendors to deliver new sites and retrofits, manage projects from concept through go-live, and drive continuous improvement. GXO offers a performance-driven, collaborative culture with global exposure, career growth and the chance to shape the future of logistics. Responsibilities Design and specify automation solutions for warehousing and logistics operations, including robotics, conveyors, sorters and control systems. Develop and optimize PLC, WCS and related control logic to improve throughput, accuracy and reliability. Lead automation projects from concept and requirements through design, installation, testing and go-live. Analyze operational data and KPIs to identify bottlenecks and drive continuous improvement initiatives. Collaborate with operations, IT, safety and external vendors to ensure successful integration of new technologies. Conduct system troubleshooting, root cause analysis and implement corrective actions to minimize downtime. Ensure compliance with safety standards and support risk assessments for automated equipment and processes. Create technical documentation, drawings and specifications for automation equipment and layouts. Train operations and maintenance teams on new automated systems and best practices. Support multi-site and global initiatives to standardize and scale automation solutions across GXO's network. Required Skills PLC programming (e.g., Allen-Bradley, Siemens) Industrial robotics integration Warehouse control systems (WCS/WMS) Industrial networking and fieldbuses Data analysis and KPI development Auto CAD or similar for layouts Root cause analysis and continuous improvement Project management Safety systems and risk assessments Scripting or coding (Python, SQL or similar)
09/24/2026
Full time
GXO Logistics is seeking a Senior Automation Engineer to lead the design, deployment and optimization of automation in our transportation and warehousing operations. In this role, you will specify and integrate robotics, conveyors, sortation, and control systems, develop PLC and WCS logic, and use data to improve throughput, accuracy and safety. You'll partner with operations, IT and vendors to deliver new sites and retrofits, manage projects from concept through go-live, and drive continuous improvement. GXO offers a performance-driven, collaborative culture with global exposure, career growth and the chance to shape the future of logistics. Responsibilities Design and specify automation solutions for warehousing and logistics operations, including robotics, conveyors, sorters and control systems. Develop and optimize PLC, WCS and related control logic to improve throughput, accuracy and reliability. Lead automation projects from concept and requirements through design, installation, testing and go-live. Analyze operational data and KPIs to identify bottlenecks and drive continuous improvement initiatives. Collaborate with operations, IT, safety and external vendors to ensure successful integration of new technologies. Conduct system troubleshooting, root cause analysis and implement corrective actions to minimize downtime. Ensure compliance with safety standards and support risk assessments for automated equipment and processes. Create technical documentation, drawings and specifications for automation equipment and layouts. Train operations and maintenance teams on new automated systems and best practices. Support multi-site and global initiatives to standardize and scale automation solutions across GXO's network. Required Skills PLC programming (e.g., Allen-Bradley, Siemens) Industrial robotics integration Warehouse control systems (WCS/WMS) Industrial networking and fieldbuses Data analysis and KPI development Auto CAD or similar for layouts Root cause analysis and continuous improvement Project management Safety systems and risk assessments Scripting or coding (Python, SQL or similar)
Senior Manager, Edge and Distributed Network Engineering
Southern Glazer's Wine&Spirits Hollywood, Florida
Southern Glazer's Wine & Spirits seeks a Senior Manager, Edge and Distributed Network Engineering to lead design, deployment, and optimization of secure edge and branch networks across our distribution footprint. You will own strategy for SD WAN, campus, and remote connectivity, ensuring high availability for logistics, sales, and warehouse operations. Partner with security, infrastructure, and application teams to deliver resilient, scalable network services and guide a team of engineers through architecture, implementation, and lifecycle management while driving automation, standards, and continuous improvement. Responsibilities Lead architecture, design, and roadmap for edge and distributed network services across warehouses, offices, and remote sites. Oversee implementation, operation, and optimization of SD-WAN, routing, switching, and wireless solutions. Ensure network availability, performance, and security to support logistics, sales, and business-critical systems. Manage and mentor a team of network engineers, setting standards, priorities, and development plans. Collaborate with security, infrastructure, and application teams on secure, integrated network solutions. Drive network automation, monitoring, and documentation to improve reliability and reduce manual effort. Manage vendors, contracts, and lifecycle for network hardware, software, and services. Lead complex network projects and incident response, communicating status to technical and business stakeholders. Required Skills Edge networking architecture SD-WAN design and operations Distributed/branch network engineering Network security (firewalls, segmentation) Routing and switching (BGP, OSPF, VLANs) Cloud and hybrid connectivity Network automation and scripting Monitoring and performance tuning (SNMP, Net Flow) Vendor and lifecycle management Leadership and project management
09/24/2026
Full time
Southern Glazer's Wine & Spirits seeks a Senior Manager, Edge and Distributed Network Engineering to lead design, deployment, and optimization of secure edge and branch networks across our distribution footprint. You will own strategy for SD WAN, campus, and remote connectivity, ensuring high availability for logistics, sales, and warehouse operations. Partner with security, infrastructure, and application teams to deliver resilient, scalable network services and guide a team of engineers through architecture, implementation, and lifecycle management while driving automation, standards, and continuous improvement. Responsibilities Lead architecture, design, and roadmap for edge and distributed network services across warehouses, offices, and remote sites. Oversee implementation, operation, and optimization of SD-WAN, routing, switching, and wireless solutions. Ensure network availability, performance, and security to support logistics, sales, and business-critical systems. Manage and mentor a team of network engineers, setting standards, priorities, and development plans. Collaborate with security, infrastructure, and application teams on secure, integrated network solutions. Drive network automation, monitoring, and documentation to improve reliability and reduce manual effort. Manage vendors, contracts, and lifecycle for network hardware, software, and services. Lead complex network projects and incident response, communicating status to technical and business stakeholders. Required Skills Edge networking architecture SD-WAN design and operations Distributed/branch network engineering Network security (firewalls, segmentation) Routing and switching (BGP, OSPF, VLANs) Cloud and hybrid connectivity Network automation and scripting Monitoring and performance tuning (SNMP, Net Flow) Vendor and lifecycle management Leadership and project management
GXO Logistics
Senior Automation Engineer - Warehouse & Logistics Systems
GXO Logistics Irving, Texas
GXO Logistics is seeking a Senior Automation Engineer to lead the design, deployment and optimization of automation in our transportation and warehousing operations. In this role, you will specify and integrate robotics, conveyors, sortation, and control systems, develop PLC and WCS logic, and use data to improve throughput, accuracy and safety. You'll partner with operations, IT and vendors to deliver new sites and retrofits, manage projects from concept through go-live, and drive continuous improvement. GXO offers a performance-driven, collaborative culture with global exposure, career growth and the chance to shape the future of logistics. Responsibilities Design and specify automation solutions for warehousing and logistics operations, including robotics, conveyors, sorters and control systems. Develop and optimize PLC, WCS and related control logic to improve throughput, accuracy and reliability. Lead automation projects from concept and requirements through design, installation, testing and go-live. Analyze operational data and KPIs to identify bottlenecks and drive continuous improvement initiatives. Collaborate with operations, IT, safety and external vendors to ensure successful integration of new technologies. Conduct system troubleshooting, root cause analysis and implement corrective actions to minimize downtime. Ensure compliance with safety standards and support risk assessments for automated equipment and processes. Create technical documentation, drawings and specifications for automation equipment and layouts. Train operations and maintenance teams on new automated systems and best practices. Support multi-site and global initiatives to standardize and scale automation solutions across GXO's network. Required Skills PLC programming (e.g., Allen-Bradley, Siemens) Industrial robotics integration Warehouse control systems (WCS/WMS) Industrial networking and fieldbuses Data analysis and KPI development Auto CAD or similar for layouts Root cause analysis and continuous improvement Project management Safety systems and risk assessments Scripting or coding (Python, SQL or similar)
09/24/2026
Full time
GXO Logistics is seeking a Senior Automation Engineer to lead the design, deployment and optimization of automation in our transportation and warehousing operations. In this role, you will specify and integrate robotics, conveyors, sortation, and control systems, develop PLC and WCS logic, and use data to improve throughput, accuracy and safety. You'll partner with operations, IT and vendors to deliver new sites and retrofits, manage projects from concept through go-live, and drive continuous improvement. GXO offers a performance-driven, collaborative culture with global exposure, career growth and the chance to shape the future of logistics. Responsibilities Design and specify automation solutions for warehousing and logistics operations, including robotics, conveyors, sorters and control systems. Develop and optimize PLC, WCS and related control logic to improve throughput, accuracy and reliability. Lead automation projects from concept and requirements through design, installation, testing and go-live. Analyze operational data and KPIs to identify bottlenecks and drive continuous improvement initiatives. Collaborate with operations, IT, safety and external vendors to ensure successful integration of new technologies. Conduct system troubleshooting, root cause analysis and implement corrective actions to minimize downtime. Ensure compliance with safety standards and support risk assessments for automated equipment and processes. Create technical documentation, drawings and specifications for automation equipment and layouts. Train operations and maintenance teams on new automated systems and best practices. Support multi-site and global initiatives to standardize and scale automation solutions across GXO's network. Required Skills PLC programming (e.g., Allen-Bradley, Siemens) Industrial robotics integration Warehouse control systems (WCS/WMS) Industrial networking and fieldbuses Data analysis and KPI development Auto CAD or similar for layouts Root cause analysis and continuous improvement Project management Safety systems and risk assessments Scripting or coding (Python, SQL or similar)
Software Engineer - REST API Development, Officer
State Street Burlington, Massachusetts
About the Role We are seeking an enthusiastic and motivated Junior Software Engineer to join our API Engineering team. In this role, you will help design, develop, test, document, and support REST APIs that power business applications, partner integrations, and client-facing services. You will work closely with senior engineers, architects, product managers, quality engineers, and platform teams to learn and apply modern software engineering practices while contributing to secure, scalable, and reliable APIs. This position is ideal for an early-career engineer who is eager to grow in backend development, systems integration, and API design, and who enjoys solving technical problems in a collaborative, mentorship-driven environment. Key Responsibilities API Development Assist in designing, developing, and maintaining RESTful APIs and backend services under the guidance of senior engineers. Build and maintain reusable components, libraries, and integration services. Help ensure APIs meet performance, reliability, and security requirements. Learn and apply API versioning and lifecycle management practices. Troubleshoot and help resolve API and integration issues across development and testing environments, escalating complex issues as needed. Documentation & Knowledge Sharing Create and maintain clear API and integration documentation, including API specifications, developer guides, and usage examples. Document technical work, implementation notes, and lessons learned. Contribute to team knowledge repositories and engineering best practices. Integration & Architecture Support the development of integrations between internal systems, external partners, and cloud services. Follow enterprise architecture standards when implementing API solutions. Learn and contribute to microservices and event-driven integration patterns. Assist with API gateway onboarding and basic policy implementation tasks. Quality Engineering Write unit, integration, and automated API tests with guidance from senior team members. Participate in peer code reviews and design reviews to learn team standards. Support CI/CD pipeline usage and basic deployment automation tasks. Help identify reliability, performance, and maintainability issues. Security & Compliance Learn and apply secure authentication and authorization mechanisms such as OAuth 2.0 and JWT. Follow secure coding practices and enterprise security requirements. Support vulnerability remediation activities as directed. Help ensure appropriate logging and monitoring is implemented in the services you build. Collaboration Actively participate in Agile/Scrum ceremonies and engineering planning activities. Collaborate with product, architecture, security, and operations teams. Communicate progress, questions, and technical ideas clearly to teammates and mentors. Seek feedback and apply it to continuously improve technical skills. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent practical experience, including internships, bootcamps, or personal projects). Experience 0-2 years of professional software development experience (internships, co-ops, and academic projects are valued). Some exposure to building or consuming REST APIs, through coursework, internships, or personal projects. Familiarity with at least one backend language/framework such as Java, C#, .NET, or Spring Boot. Basic experience with Git-based source control. Technical Skills Basic understanding of REST API principles and HTTP protocols. Familiarity with JSON and API integration concepts. Basic understanding of relational databases and SQL. Foundational knowledge of software design patterns and object-oriented programming. Willingness to learn API security concepts, including OAuth 2.0 and JWT. Exposure to automated testing frameworks (unit testing) is a plus. Interest in or coursework experience with cloud platforms such as Microsoft Azure. Curiosity about containerization technologies such as Docker and Kubernetes. Eagerness to learn CI/CD pipelines and DevOps practices. Preferred Qualifications Coursework, certifications, or personal projects involving Microsoft Azure. Exposure to messaging or event-driven concepts (e.g., Kafka, RabbitMQ, Azure Service Bus). Experience writing basic technical documentation. Familiarity with monitoring/logging concepts. Internship or academic experience in financial services, fintech, or other regulated industries. What We Value Strong desire to learn and grow as a software engineer. Analytical and problem-solving mindset. Attention to detail and commitment to writing quality code. Strong written and verbal communication skills. Ability to collaborate effectively and accept mentorship in a team environment. Growth mindset and willingness to adopt new technologies. Ownership mindset with the ability to drive assigned tasks to completion with support. Core Technologies REST APIs (foundational) Java, Spring Boot, C#, or .NET Git SQL Databases Basic OAuth 2.0 / JWT concepts Nice to Have Technologies Microsoft Azure Docker / Kubernetes (exposure) CI/CD Pipelines Kafka or similar messaging platforms Desired Traits Strong foundational engineering skills Eagerness to learn cloud-native development Security-aware mindset Good communication and documentation habits Ability to work effectively in Agile teams with mentorship Passion for building reliable software and growing into a stronger engineer Role Summary This job description is aligned for an entry-level/junior engineer joining an Azure-based REST API platform team. The role emphasizes hands-on learning, mentorship, and gradual ownership of API development, integrations, testing, documentation, and cloud-native application delivery under the guidance of senior engineers. Salary Range: $70,000 - $118,750 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
09/24/2026
Full time
About the Role We are seeking an enthusiastic and motivated Junior Software Engineer to join our API Engineering team. In this role, you will help design, develop, test, document, and support REST APIs that power business applications, partner integrations, and client-facing services. You will work closely with senior engineers, architects, product managers, quality engineers, and platform teams to learn and apply modern software engineering practices while contributing to secure, scalable, and reliable APIs. This position is ideal for an early-career engineer who is eager to grow in backend development, systems integration, and API design, and who enjoys solving technical problems in a collaborative, mentorship-driven environment. Key Responsibilities API Development Assist in designing, developing, and maintaining RESTful APIs and backend services under the guidance of senior engineers. Build and maintain reusable components, libraries, and integration services. Help ensure APIs meet performance, reliability, and security requirements. Learn and apply API versioning and lifecycle management practices. Troubleshoot and help resolve API and integration issues across development and testing environments, escalating complex issues as needed. Documentation & Knowledge Sharing Create and maintain clear API and integration documentation, including API specifications, developer guides, and usage examples. Document technical work, implementation notes, and lessons learned. Contribute to team knowledge repositories and engineering best practices. Integration & Architecture Support the development of integrations between internal systems, external partners, and cloud services. Follow enterprise architecture standards when implementing API solutions. Learn and contribute to microservices and event-driven integration patterns. Assist with API gateway onboarding and basic policy implementation tasks. Quality Engineering Write unit, integration, and automated API tests with guidance from senior team members. Participate in peer code reviews and design reviews to learn team standards. Support CI/CD pipeline usage and basic deployment automation tasks. Help identify reliability, performance, and maintainability issues. Security & Compliance Learn and apply secure authentication and authorization mechanisms such as OAuth 2.0 and JWT. Follow secure coding practices and enterprise security requirements. Support vulnerability remediation activities as directed. Help ensure appropriate logging and monitoring is implemented in the services you build. Collaboration Actively participate in Agile/Scrum ceremonies and engineering planning activities. Collaborate with product, architecture, security, and operations teams. Communicate progress, questions, and technical ideas clearly to teammates and mentors. Seek feedback and apply it to continuously improve technical skills. Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent practical experience, including internships, bootcamps, or personal projects). Experience 0-2 years of professional software development experience (internships, co-ops, and academic projects are valued). Some exposure to building or consuming REST APIs, through coursework, internships, or personal projects. Familiarity with at least one backend language/framework such as Java, C#, .NET, or Spring Boot. Basic experience with Git-based source control. Technical Skills Basic understanding of REST API principles and HTTP protocols. Familiarity with JSON and API integration concepts. Basic understanding of relational databases and SQL. Foundational knowledge of software design patterns and object-oriented programming. Willingness to learn API security concepts, including OAuth 2.0 and JWT. Exposure to automated testing frameworks (unit testing) is a plus. Interest in or coursework experience with cloud platforms such as Microsoft Azure. Curiosity about containerization technologies such as Docker and Kubernetes. Eagerness to learn CI/CD pipelines and DevOps practices. Preferred Qualifications Coursework, certifications, or personal projects involving Microsoft Azure. Exposure to messaging or event-driven concepts (e.g., Kafka, RabbitMQ, Azure Service Bus). Experience writing basic technical documentation. Familiarity with monitoring/logging concepts. Internship or academic experience in financial services, fintech, or other regulated industries. What We Value Strong desire to learn and grow as a software engineer. Analytical and problem-solving mindset. Attention to detail and commitment to writing quality code. Strong written and verbal communication skills. Ability to collaborate effectively and accept mentorship in a team environment. Growth mindset and willingness to adopt new technologies. Ownership mindset with the ability to drive assigned tasks to completion with support. Core Technologies REST APIs (foundational) Java, Spring Boot, C#, or .NET Git SQL Databases Basic OAuth 2.0 / JWT concepts Nice to Have Technologies Microsoft Azure Docker / Kubernetes (exposure) CI/CD Pipelines Kafka or similar messaging platforms Desired Traits Strong foundational engineering skills Eagerness to learn cloud-native development Security-aware mindset Good communication and documentation habits Ability to work effectively in Agile teams with mentorship Passion for building reliable software and growing into a stronger engineer Role Summary This job description is aligned for an entry-level/junior engineer joining an Azure-based REST API platform team. The role emphasizes hands-on learning, mentorship, and gradual ownership of API development, integrations, testing, documentation, and cloud-native application delivery under the guidance of senior engineers. Salary Range: $70,000 - $118,750 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Senior Software Development Engineer (Server Side), AVP
State Street Boston, Massachusetts
Role Summary and Role Description: As a Senior Software Development Engineer (Server Side) for GlobalLink Technical Operations Team, the ideal candidate will : Provide second level support for GlobalLink Applications Build next generation infrastructure to support new initiatives Quickly diagnose and resolve issues across multiple functional areas (server, network, database, storage) Provide operational support for Security and Compliance Management Execute Change Management tasks in Production, UAT and other lower environments Contribute towards on-going migration tasks in the areas of Maintainability, Performance, and High Availability Monitor system performance and make recommendations on improvements Work closely with Engineering and Development teams in order to deliver a highly available and resilient system Participate in on-call rotation and perform weekend maintenance tasks Experience/Skills Required: Total 15+ years of IT experience: Scripting/Programming experience (Python, BASH, Ansible, Terraform) Strong familiarity with web servers (specifically Apache/NGINX) Linux system administration knowledge (preferably RedHat) Knowledge of network concepts (TCP, UDP, Load Balancing, NAT, FW, etc) Strong troubleshooting skills (ability to detect, isolate, and resolve issues anywhere from the kernel up to the application and network layers) Working knowledge of AWS cloud is must, with good experience in automation. Experience in middleware and messaging technologies like Kafka, RabbitMQ, IBM WMQ Additional Skills: Experience work on CI/CD Tools, JFROG Artifactory systems Knowledge of DevOps tools like Jenkins, Ansible, Artifactory, Docker and Kubernetes. Experience with running and troubleshooting Java applications. Salary Range: $90,000 - $157,500 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
09/24/2026
Full time
Role Summary and Role Description: As a Senior Software Development Engineer (Server Side) for GlobalLink Technical Operations Team, the ideal candidate will : Provide second level support for GlobalLink Applications Build next generation infrastructure to support new initiatives Quickly diagnose and resolve issues across multiple functional areas (server, network, database, storage) Provide operational support for Security and Compliance Management Execute Change Management tasks in Production, UAT and other lower environments Contribute towards on-going migration tasks in the areas of Maintainability, Performance, and High Availability Monitor system performance and make recommendations on improvements Work closely with Engineering and Development teams in order to deliver a highly available and resilient system Participate in on-call rotation and perform weekend maintenance tasks Experience/Skills Required: Total 15+ years of IT experience: Scripting/Programming experience (Python, BASH, Ansible, Terraform) Strong familiarity with web servers (specifically Apache/NGINX) Linux system administration knowledge (preferably RedHat) Knowledge of network concepts (TCP, UDP, Load Balancing, NAT, FW, etc) Strong troubleshooting skills (ability to detect, isolate, and resolve issues anywhere from the kernel up to the application and network layers) Working knowledge of AWS cloud is must, with good experience in automation. Experience in middleware and messaging technologies like Kafka, RabbitMQ, IBM WMQ Additional Skills: Experience work on CI/CD Tools, JFROG Artifactory systems Knowledge of DevOps tools like Jenkins, Ansible, Artifactory, Docker and Kubernetes. Experience with running and troubleshooting Java applications. Salary Range: $90,000 - $157,500 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Oracle
Senior Platform Software Engineer
Oracle Austin, Texas
Owns moderately complex components within Compute/Imaging platform services; leads team-level improvements to integration frameworks and developer tooling. Performs deep debugging across a bounded set of Operating System, Infrastructure Orchestration, distributed services, driving fixes that protect downstream consumers and upgrade paths. Analyzes usage, performance, and error budgets for specific platform surfaces; implements targeted resilience and capacity optimizations. Authors and curates team-scoped documentation, samples, and adoption guidance. Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability. Delivers features and load/performance tests; leverages data plane platforms and distributed state tools for high-volume retrieval, storage, and processing; and reviews peers' implementations for scalability compliance. Builds fault-tolerant paths (redundancy, replication, automatic failover), applies recovery oriented principles, and implements retries, circuit breakers, and timeouts. Proactively detects and mitigates issues via tests, alarms, dashboards, and telemetry; authors runbooks and participates in incident response and RCAs. Implements standard replication and synchronization, develops automation/IaC for troubleshooting and maintenance, and applies advanced security controls (encryption, access, remediation) while ensuring change, compliance, and documentation standards are met. Responsibilities Key Responsibilities Platform Software Development: Own a bounded Compute/Imaging platform component (service module area) and evolve its contracts for multi-tenant use. Perform deep debugging across a limited-service graph; drive compatibility-safe remediation plans. Implement targeted resilience/capacity patterns and document adoption guidance for team consumers. Software Development and Coding - Design, Testing, and Optimization: Designs software solutions and analyzes and helps identify requirements to achieve business and operational goals, independently. Adheres to and suggests improvements to all phases of the software development lifecycle. Utilizes working knowledge to develop new software features and enhancements following design specifications and develops documents to clarify software design and code. Leads code reviews in designated areas to help drive improvements. Conducts debugging and troubleshooting to identify and fix moderately complex software issues. Develops fixes for identified issues. Implements software testing (e.g., functional and non-functional testing), quality assurance processes, software error logging, monitoring, and observability for effective debugging, ensuring review by manager and/or lead throughout the process. Exercises judgment and discretion to conduct performance profiling and optimization of coding. Troubleshoots and resolves moderately complex issues related to application programming interface (API) functionality and integration. Implements moderately complex API versioning, lifecycle, and interoperability strategies. Software Architecture - Software System Structural Design: Designs and develops software, systems, and services aligned to pre-defined system architecture. Develops working knowledge of software architecture decisions and best practices. Collaborates with team leads to review work to ensure alignment with software architecture. Implements moderately complex performance optimization and scalability strategies in software design. Issue/Defect Collaboration - Software Products Support: Collaborates within and beyond immediate team to understand customer issues and align solutions. May provide technical guidance and support to customers regarding customer-reported issues, independently. Coaches, mentors, and guides others to advocate for customers' interests and suggests product enhancements based on feedback. Influences team to ensure customer satisfaction through timely resolution of issues and effective communication. Implements customer issue and/or defect handling and training processes, independently. Investigates and troubleshoots complex product maintenance issues to ensure customer agreement on short- and long-term solutions (e.g., future enhancements). Practices and Standards Compliance - Security and Compliance: Collaborates with the team to establish and follow development practices and coding standards. Exercises judgment and discretion to ensure code quality and adherence to broad acceptance criteria during development. Keeps up to date with industry best practices and applies them to software development processes. Implements secure coding practices to prevent security vulnerabilities. Development Operations - System Maintenance: Performs periodic maintenance and testing operations for systems that require upgrading or patching (e.g., for critical vulnerabilities). Exercises judgment and discretion to drive improvements, ensure automation, testing, and debugging of systems to ensure service/product availability, health, support, and reliability. Participate in Teams Oncall Rotations to provide reactive support for team's service area for critical incidents recovery. Core Responsibilities Planning & Execution: Independently manages work, monitoring timelines and deliverables to ensure projects or initiatives stay on track and meet requirements. Proactively prioritizes work and adapts to resource or timeline shifts, suggesting adjustments to maintain project efficiency. Collaboration & Partnership: Collaborates across teams to align on expectations and achieve shared objectives. Builds and maintains a comprehensive understanding of business, stakeholder, and/or customer needs to build and support effective partnerships. Actively listens to diverse perspectives and asks questions to ensure understanding of others. Problem Solving: Independently identifies and addresses standard and non-standard issues in accordance with standard practices, escalating more complex issues as appropriate. Analyzes data and/or information from multiple sources to troubleshoot standard and non-standard errors. Contributes to knowledge sharing and best practices. Continuous Learning: Embraces continuous learning by actively seeking to build knowledge and new skills and/or tools and staying current with industry trends and best practices. Seeks out and leverages feedback and training to improve skills. Contributes to a culture of continuous learning and knowledge sharing with team members. Continuous Improvement: Develops ideas and recommends updates to increase the efficiency and effectiveness of processes, protocols, and workflows within a team. Seeks input from team members on alternative approaches and methods for improving work. Requirements 5+ years' experience delivering and operating large scale, highly available distributed systems. Strong knowledge and interest in AI adoption including prompt engineering and agentic programming, with ChatGPT and Codex experience a plus. Strong knowledge of a base language such as Java, with a preference for functional programming language such as Scala. Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Experience with tools such as Terraform for Infrastructure as Code. Deep knowledge with networking protocols (TCP/IP, HTTP) and network architectures. Ability to design, troubleshoot and maintain networking infrastructure for high throughput use cases. Strong understanding of databases, storage, and distributed persistence technologies. Strong troubleshooting and performance tuning skills. Experience building multi-tenant, virtualized infrastructure a strong plus. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $92,500 to $209,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week . click apply for full job details
09/24/2026
Full time
Owns moderately complex components within Compute/Imaging platform services; leads team-level improvements to integration frameworks and developer tooling. Performs deep debugging across a bounded set of Operating System, Infrastructure Orchestration, distributed services, driving fixes that protect downstream consumers and upgrade paths. Analyzes usage, performance, and error budgets for specific platform surfaces; implements targeted resilience and capacity optimizations. Authors and curates team-scoped documentation, samples, and adoption guidance. Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability. Delivers features and load/performance tests; leverages data plane platforms and distributed state tools for high-volume retrieval, storage, and processing; and reviews peers' implementations for scalability compliance. Builds fault-tolerant paths (redundancy, replication, automatic failover), applies recovery oriented principles, and implements retries, circuit breakers, and timeouts. Proactively detects and mitigates issues via tests, alarms, dashboards, and telemetry; authors runbooks and participates in incident response and RCAs. Implements standard replication and synchronization, develops automation/IaC for troubleshooting and maintenance, and applies advanced security controls (encryption, access, remediation) while ensuring change, compliance, and documentation standards are met. Responsibilities Key Responsibilities Platform Software Development: Own a bounded Compute/Imaging platform component (service module area) and evolve its contracts for multi-tenant use. Perform deep debugging across a limited-service graph; drive compatibility-safe remediation plans. Implement targeted resilience/capacity patterns and document adoption guidance for team consumers. Software Development and Coding - Design, Testing, and Optimization: Designs software solutions and analyzes and helps identify requirements to achieve business and operational goals, independently. Adheres to and suggests improvements to all phases of the software development lifecycle. Utilizes working knowledge to develop new software features and enhancements following design specifications and develops documents to clarify software design and code. Leads code reviews in designated areas to help drive improvements. Conducts debugging and troubleshooting to identify and fix moderately complex software issues. Develops fixes for identified issues. Implements software testing (e.g., functional and non-functional testing), quality assurance processes, software error logging, monitoring, and observability for effective debugging, ensuring review by manager and/or lead throughout the process. Exercises judgment and discretion to conduct performance profiling and optimization of coding. Troubleshoots and resolves moderately complex issues related to application programming interface (API) functionality and integration. Implements moderately complex API versioning, lifecycle, and interoperability strategies. Software Architecture - Software System Structural Design: Designs and develops software, systems, and services aligned to pre-defined system architecture. Develops working knowledge of software architecture decisions and best practices. Collaborates with team leads to review work to ensure alignment with software architecture. Implements moderately complex performance optimization and scalability strategies in software design. Issue/Defect Collaboration - Software Products Support: Collaborates within and beyond immediate team to understand customer issues and align solutions. May provide technical guidance and support to customers regarding customer-reported issues, independently. Coaches, mentors, and guides others to advocate for customers' interests and suggests product enhancements based on feedback. Influences team to ensure customer satisfaction through timely resolution of issues and effective communication. Implements customer issue and/or defect handling and training processes, independently. Investigates and troubleshoots complex product maintenance issues to ensure customer agreement on short- and long-term solutions (e.g., future enhancements). Practices and Standards Compliance - Security and Compliance: Collaborates with the team to establish and follow development practices and coding standards. Exercises judgment and discretion to ensure code quality and adherence to broad acceptance criteria during development. Keeps up to date with industry best practices and applies them to software development processes. Implements secure coding practices to prevent security vulnerabilities. Development Operations - System Maintenance: Performs periodic maintenance and testing operations for systems that require upgrading or patching (e.g., for critical vulnerabilities). Exercises judgment and discretion to drive improvements, ensure automation, testing, and debugging of systems to ensure service/product availability, health, support, and reliability. Participate in Teams Oncall Rotations to provide reactive support for team's service area for critical incidents recovery. Core Responsibilities Planning & Execution: Independently manages work, monitoring timelines and deliverables to ensure projects or initiatives stay on track and meet requirements. Proactively prioritizes work and adapts to resource or timeline shifts, suggesting adjustments to maintain project efficiency. Collaboration & Partnership: Collaborates across teams to align on expectations and achieve shared objectives. Builds and maintains a comprehensive understanding of business, stakeholder, and/or customer needs to build and support effective partnerships. Actively listens to diverse perspectives and asks questions to ensure understanding of others. Problem Solving: Independently identifies and addresses standard and non-standard issues in accordance with standard practices, escalating more complex issues as appropriate. Analyzes data and/or information from multiple sources to troubleshoot standard and non-standard errors. Contributes to knowledge sharing and best practices. Continuous Learning: Embraces continuous learning by actively seeking to build knowledge and new skills and/or tools and staying current with industry trends and best practices. Seeks out and leverages feedback and training to improve skills. Contributes to a culture of continuous learning and knowledge sharing with team members. Continuous Improvement: Develops ideas and recommends updates to increase the efficiency and effectiveness of processes, protocols, and workflows within a team. Seeks input from team members on alternative approaches and methods for improving work. Requirements 5+ years' experience delivering and operating large scale, highly available distributed systems. Strong knowledge and interest in AI adoption including prompt engineering and agentic programming, with ChatGPT and Codex experience a plus. Strong knowledge of a base language such as Java, with a preference for functional programming language such as Scala. Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Experience with tools such as Terraform for Infrastructure as Code. Deep knowledge with networking protocols (TCP/IP, HTTP) and network architectures. Ability to design, troubleshoot and maintain networking infrastructure for high throughput use cases. Strong understanding of databases, storage, and distributed persistence technologies. Strong troubleshooting and performance tuning skills. Experience building multi-tenant, virtualized infrastructure a strong plus. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $92,500 to $209,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week . click apply for full job details
Oracle
Core Infrastructure Engineer 2
Oracle Nashville, Tennessee
Implements and optimizes components within existing distributed systems under guidance. Applies basic scalability requirements, conducts performance/load testing, and configures resiliency features (retries, circuit breakers, timeouts) to handle network variability. Builds telemetry, alerts, and runbook-driven procedures; delivers scoped features and fault-injection tests; and helps implement basic data replication and synchronization. Assists with on-call rotations, uses automation/IaC scripts to troubleshoot, and follows change, security, and compliance procedures (encryption, access controls, remediation plans) while escalating complex issues to senior engineers. Responsibilities Responsibilities As a Core Infrastructure Software Engineer, you will: Design, develop, and operate highly available, scalable, and fault-tolerant microservices across control plane, connectivity, distributed-systems data plane, and Linux daemon technologies. Contribute throughout the product lifecycle, from conceptualization and product definition through design, development, launch, and operational maturity. Identify opportunities to automate engineering workflows across development, testing, troubleshooting, operations, and documentation, leveraging AI-assisted and agentic approaches where appropriate. Measure and improve reliability, delivery velocity, operational efficiency, customer outcomes, and engineering productivity, while sharing effective practices across the team. You should be a hands-on, adaptable, and self-motivated engineer who learns quickly, applies new tools thoughtfully, and enjoys solving challenging high-availability and scalability problems. Qualifications 3+ years of experience with systems or application development. 3+ years of experience with distributed systems or backend development. Bachelor's degree in Computer Science or a related engineering field. Proficiency with data structures, algorithms, and operating systems. Experience with distributed systems, including familiarity with CAP theorem, consensus, messaging, and high availability. Demonstrated willingness to learn and responsibly apply AI/LLM tools, skills, and automation to improve engineering workflows. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $70,000 to $166,100 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
09/24/2026
Full time
Implements and optimizes components within existing distributed systems under guidance. Applies basic scalability requirements, conducts performance/load testing, and configures resiliency features (retries, circuit breakers, timeouts) to handle network variability. Builds telemetry, alerts, and runbook-driven procedures; delivers scoped features and fault-injection tests; and helps implement basic data replication and synchronization. Assists with on-call rotations, uses automation/IaC scripts to troubleshoot, and follows change, security, and compliance procedures (encryption, access controls, remediation plans) while escalating complex issues to senior engineers. Responsibilities Responsibilities As a Core Infrastructure Software Engineer, you will: Design, develop, and operate highly available, scalable, and fault-tolerant microservices across control plane, connectivity, distributed-systems data plane, and Linux daemon technologies. Contribute throughout the product lifecycle, from conceptualization and product definition through design, development, launch, and operational maturity. Identify opportunities to automate engineering workflows across development, testing, troubleshooting, operations, and documentation, leveraging AI-assisted and agentic approaches where appropriate. Measure and improve reliability, delivery velocity, operational efficiency, customer outcomes, and engineering productivity, while sharing effective practices across the team. You should be a hands-on, adaptable, and self-motivated engineer who learns quickly, applies new tools thoughtfully, and enjoys solving challenging high-availability and scalability problems. Qualifications 3+ years of experience with systems or application development. 3+ years of experience with distributed systems or backend development. Bachelor's degree in Computer Science or a related engineering field. Proficiency with data structures, algorithms, and operating systems. Experience with distributed systems, including familiarity with CAP theorem, consensus, messaging, and high availability. Demonstrated willingness to learn and responsibly apply AI/LLM tools, skills, and automation to improve engineering workflows. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $70,000 to $166,100 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
EY
Advanced Analytics and AI Lead
EY
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
Oracle
Senior Manager, Core Infrastructure Engineering
Oracle Nashville, Tennessee
Manages team delivering scalable distributed systems and components on a 2-4 quarter horizon. Standardizes engineering practices and scalability requirements across teams; oversees optimization for high throughput, hyper scale workloads; and ensures effective use of distributed state tools and data plane platforms. Guides teams to design fault tolerant, in service upgradable systems, set SLO aligned durability/availability targets, and implement resiliency mechanisms (load shedding, throttling, rate limiting). Provides oversight for KPIs, telemetry, and moderately complex dashboards; directs design of functional/correctness requirements, fault injection tests, and replication/synchronization strategies. Ensures proactive incident management, operational readiness, and on call coverage; drives encryption/access control practices, remediation plans, and compliance documentation. Oversees development and maintenance of automation/IaC and partners with teams on change management plans enabling safe patching, updates, and rollbacks. Responsibilities Key Responsibilities System Design & Architecture - System Scalability: Manages the development and implementation of scalable distributed systems and components across multiple teams, including the effective use of distributed state management tools. Oversees code and/or system optimization efforts for large-scale data processing and high-throughput requirements within and across teams to support hyper-scale systems. Guides teams to define scalability requirements for owned components and ensures design and implementation requirements are met. Manages the use of data plane platforms to effectively handle large-scale data retrieval, storage, and processing. Ensures team accurately designs performance and load testing. System Design & Architecture - System Reliability Design: Manages the strategy for building fault-tolerant components and systems capable of withstanding in-service updates by guiding the implementation of redundancy, replication, and automatic failover mechanisms. Develops design strategies for systems to effectively handle service disruptions (e.g., network partitions) by prioritizing consistency, availability, or partition tolerance. Leads implementation and optimization initiatives across teams for approaches to handle network unreliability, including load-shedding, throttling, and rate-limiting. Guides teams to design components and systems that are durable and adhere to service level objectives (SLOs), setting expectations for availability and durability of other computing services within the department. System Design & Architecture - System Reliability Performance: Provides oversight in defining key performance indicators (KPIs) and telemetry to identify gaps or issues in running systems. Oversees the building and customization of moderately complex dashboards, telemetry systems, and alerting mechanisms to proactively monitor components and system health. System Design & Architecture - Correctness / Availability: Oversees the design and implementation of functional and correctness requirements for feature sets and/or systems in new or existing systems. Guides teams to design complex test scenarios (e.g., fault-injection, brown-out) to evaluate system correctness. Directs implementation strategies for data replication and synchronization techniques to maintain data integrity and availability. Operational Troubleshooting & Incident Management: Guides teams to be proactive when diagnosing, debugging, and resolving issues in active components and systems to support ongoing operation. Ensures teams leverage expertise to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues. Oversees operational readiness protocol and ensures teams remain knowledgeable of owned components and systems to support effective troubleshooting and performance. Oversees and approves schedules for operational support rotations. Compliance & Security: Oversees implementation of robust security measures to protect data and applications in multi-tenant environments, ensuring team strategies incorporate encryption techniques and access controls. Directs execution of remediation plans to address identified security gaps, promoting continuous improvement of security measures. Ensures comprehensive documentation and cloud infrastructure compliance with industry standards and regulations. Automation & Change Management: Oversees the development and maintenance of automation scripts and tools (e.g., Infrastructure as Code (IaC to manage cloud infrastructure. Works with teams to create and adhere to change management plans for patching, updating, and rolling back applications, and guides development of components to allow for automation of these processes. Core Responsibilities Planning & Execution: Manages multiple medium- to large-scale projects or initiatives across teams, ensuring timelines, deliverables, and budgets (when applicable) are monitored and met. Provides direction to teams on project work, setting priorities, and aligning with business needs. Guides teams on adjusting plans to accommodate resource or timeline changes. Collaboration & Partnership: Drives cross-functional partnerships to align on expectations and shared objectives across multiple teams. Coaches team members to develop strategic relationships with business leaders, stakeholders, and external partners to foster collaboration and long-term success. Promotes inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected. Problem Solving: Provides direction to multiple teams on addressing complex operational and/or technical issues, as well as guidance on analyzing complex data and/or information to identify solutions. Reviews and provides insights into unresolved or critical issues, helping teams to identify potential solutions. Continuous Learning: Models engaging in continuous learning to deepen expertise and stay ahead of industry trends, integrating best practices into strategic planning. Leverages feedback to drive personal and team skill improvements. Identifies skill gaps across teams and empowers team members to pursue learning and knowledge-sharing opportunities that build their expertise in new areas, coaching them to apply learnings to advance the organization. Continuous Improvement: Drives teams to collaborate on, develop, and implement ideas to increase the efficiency and effectiveness of processes, protocols, and workflows within and across teams, providing oversight. Guides teams to adopt new ideas for alternative approaches and methods and encourages feedback for continued improvement. Performance and Development: Drives performance across teams by providing feedback and coaching in alignment with performance management processes, guidelines, and expectations. Discusses development goals with team members, shares opportunities to facilitate career development, and ensures individual goals are aligned with broader organizational goals. Develops and manages talent acquisition pipeline by leading candidate interviews, monitoring promotion eligibility, and/or orchestrating talent resources. Minimum Job Qualifications Education and/or Experience: •9 years of experience in software development OR •Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR •Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR •Master's of Technology (M.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development OR •Master's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development OR •Doctorate in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 1 year of experience in software development. Job Skills: Same skills as prior level, plus: •Agile Methodologies: Demonstrated ability to use agile methodologies to drive continuous improvement and product delivery. •Automation: Demonstrated ability in or knowledge of automation, including designing, implementing . click apply for full job details
09/24/2026
Full time
Manages team delivering scalable distributed systems and components on a 2-4 quarter horizon. Standardizes engineering practices and scalability requirements across teams; oversees optimization for high throughput, hyper scale workloads; and ensures effective use of distributed state tools and data plane platforms. Guides teams to design fault tolerant, in service upgradable systems, set SLO aligned durability/availability targets, and implement resiliency mechanisms (load shedding, throttling, rate limiting). Provides oversight for KPIs, telemetry, and moderately complex dashboards; directs design of functional/correctness requirements, fault injection tests, and replication/synchronization strategies. Ensures proactive incident management, operational readiness, and on call coverage; drives encryption/access control practices, remediation plans, and compliance documentation. Oversees development and maintenance of automation/IaC and partners with teams on change management plans enabling safe patching, updates, and rollbacks. Responsibilities Key Responsibilities System Design & Architecture - System Scalability: Manages the development and implementation of scalable distributed systems and components across multiple teams, including the effective use of distributed state management tools. Oversees code and/or system optimization efforts for large-scale data processing and high-throughput requirements within and across teams to support hyper-scale systems. Guides teams to define scalability requirements for owned components and ensures design and implementation requirements are met. Manages the use of data plane platforms to effectively handle large-scale data retrieval, storage, and processing. Ensures team accurately designs performance and load testing. System Design & Architecture - System Reliability Design: Manages the strategy for building fault-tolerant components and systems capable of withstanding in-service updates by guiding the implementation of redundancy, replication, and automatic failover mechanisms. Develops design strategies for systems to effectively handle service disruptions (e.g., network partitions) by prioritizing consistency, availability, or partition tolerance. Leads implementation and optimization initiatives across teams for approaches to handle network unreliability, including load-shedding, throttling, and rate-limiting. Guides teams to design components and systems that are durable and adhere to service level objectives (SLOs), setting expectations for availability and durability of other computing services within the department. System Design & Architecture - System Reliability Performance: Provides oversight in defining key performance indicators (KPIs) and telemetry to identify gaps or issues in running systems. Oversees the building and customization of moderately complex dashboards, telemetry systems, and alerting mechanisms to proactively monitor components and system health. System Design & Architecture - Correctness / Availability: Oversees the design and implementation of functional and correctness requirements for feature sets and/or systems in new or existing systems. Guides teams to design complex test scenarios (e.g., fault-injection, brown-out) to evaluate system correctness. Directs implementation strategies for data replication and synchronization techniques to maintain data integrity and availability. Operational Troubleshooting & Incident Management: Guides teams to be proactive when diagnosing, debugging, and resolving issues in active components and systems to support ongoing operation. Ensures teams leverage expertise to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues. Oversees operational readiness protocol and ensures teams remain knowledgeable of owned components and systems to support effective troubleshooting and performance. Oversees and approves schedules for operational support rotations. Compliance & Security: Oversees implementation of robust security measures to protect data and applications in multi-tenant environments, ensuring team strategies incorporate encryption techniques and access controls. Directs execution of remediation plans to address identified security gaps, promoting continuous improvement of security measures. Ensures comprehensive documentation and cloud infrastructure compliance with industry standards and regulations. Automation & Change Management: Oversees the development and maintenance of automation scripts and tools (e.g., Infrastructure as Code (IaC to manage cloud infrastructure. Works with teams to create and adhere to change management plans for patching, updating, and rolling back applications, and guides development of components to allow for automation of these processes. Core Responsibilities Planning & Execution: Manages multiple medium- to large-scale projects or initiatives across teams, ensuring timelines, deliverables, and budgets (when applicable) are monitored and met. Provides direction to teams on project work, setting priorities, and aligning with business needs. Guides teams on adjusting plans to accommodate resource or timeline changes. Collaboration & Partnership: Drives cross-functional partnerships to align on expectations and shared objectives across multiple teams. Coaches team members to develop strategic relationships with business leaders, stakeholders, and external partners to foster collaboration and long-term success. Promotes inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected. Problem Solving: Provides direction to multiple teams on addressing complex operational and/or technical issues, as well as guidance on analyzing complex data and/or information to identify solutions. Reviews and provides insights into unresolved or critical issues, helping teams to identify potential solutions. Continuous Learning: Models engaging in continuous learning to deepen expertise and stay ahead of industry trends, integrating best practices into strategic planning. Leverages feedback to drive personal and team skill improvements. Identifies skill gaps across teams and empowers team members to pursue learning and knowledge-sharing opportunities that build their expertise in new areas, coaching them to apply learnings to advance the organization. Continuous Improvement: Drives teams to collaborate on, develop, and implement ideas to increase the efficiency and effectiveness of processes, protocols, and workflows within and across teams, providing oversight. Guides teams to adopt new ideas for alternative approaches and methods and encourages feedback for continued improvement. Performance and Development: Drives performance across teams by providing feedback and coaching in alignment with performance management processes, guidelines, and expectations. Discusses development goals with team members, shares opportunities to facilitate career development, and ensures individual goals are aligned with broader organizational goals. Develops and manages talent acquisition pipeline by leading candidate interviews, monitoring promotion eligibility, and/or orchestrating talent resources. Minimum Job Qualifications Education and/or Experience: •9 years of experience in software development OR •Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR •Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR •Master's of Technology (M.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development OR •Master's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development OR •Doctorate in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 1 year of experience in software development. Job Skills: Same skills as prior level, plus: •Agile Methodologies: Demonstrated ability to use agile methodologies to drive continuous improvement and product delivery. •Automation: Demonstrated ability in or knowledge of automation, including designing, implementing . click apply for full job details
EY
Advanced Analytics and AI Lead
EY Secaucus, New Jersey
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
EY
Advanced Analytics and AI Lead
EY
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
EY
Advanced Analytics and AI Lead
EY
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details
09/24/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Talent Advanced Analytics Lead is responsible for shaping and delivering the organization's next-generation Talent Intelligence and Advanced Analytics strategy. This role combines executive leadership advisory, advanced analytics, AI innovation, talent intelligence, and data product delivery to enable leaders to make faster, more informed decisions to unlock value and drive business impact. The role serves as a strategic advisor to global Talent, Function, Service Line, and Sector leaders by transforming talent, business, operational, and external market data into actionable intelligence. The individual will lead the development of scalable analytics products, AI-powered insights, and agentic solutions that enhance planning, skills intelligence, talent mobility, employee experience, productivity, and organizational effectiveness. Essential Functions: Talent Intelligence Strategy & Executive Advisory Partner with Global Talent Leadership, Function Talent Leaders, Service Line Leaders, and Planning leaders to define and execute the Talent Intelligence strategy. Act as a trusted advisor to executive stakeholders, translating complex workforce trends into strategic recommendations and actionable decisions. Drive data-informed decision making across planning, skills transformation, workforce evolution, talent acquisition, retention, learning, talent mobility, and succession planning, etc. Deliver executive-ready narratives that combine quantitative insights with business context and future workforce implications. Influence enterprise talent priorities through predictive and prescriptive analytics. Advanced Analytics & AI Solutions Lead the development of advanced analytics models to identify workforce risks, forecast talent demand, predict workforce trends, and uncover opportunities to improve organizational performance. Design and deploy AI-powered talent intelligence solutions using machine learning, Generative AI, natural language processing, knowledge graphs, and predictive modelling techniques. Establish scalable approaches for skills intelligence, workforce segmentation, talent forecasting, organizational network analysis, and workforce optimization. Define methodologies that combine internal talent data with external labour market intelligence and economic indicators. Continuously evaluate emerging technologies and analytics techniques to advance talent decision science capabilities. Generative AI, Copilot & Agentic Solutions Lead development of AI-enabled experiences using Data Bricks, Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, Azure AI, enterprise GenAI platforms and machine learning, and intelligent automation capabilities. Design and implement intelligent agents that automate talent insights generation, workforce analytics, executive insights, and decision support processes. Build conversational analytics experiences that enable leaders to interact with talent data through natural language. Establish governance, explainability, responsible AI, and adoption practices for AI-powered talent solutions. Partner with technology teams to integrate agentic workflows into Talent operating models and business processes. Drive experimentation and innovation through AI use cases that unlock measurable business value. Data Products & Platform Leadership Own the vision, roadmap, and lifecycle management of Talent analytics products and self-service insight solutions. Lead development of enterprise Talent data products designed for broad organizational consumption. Establish product management disciplines, user-centric design practices, and adoption strategies across Talent Intelligence initiatives. Drive the transition from static reporting toward intelligent, scalable, reusable analytics products. Identify opportunities to industrialize analytics capabilities and increase insight accessibility across stakeholder groups. Enable scalable analytics architecture supporting structured and unstructured talent data. Collaborate with Data Engineering and Technology teams to optimize data quality, governance, lineage, accessibility, and security. Drive modernization of the talent analytics ecosystem through cloud-native analytics capabilities. Insights, Storytelling & Executive Communications Transform analytical outputs into compelling executive narratives and strategic workforce recommendations. Create executive dashboards and insight products that simplify complex workforce information. Develop thought leadership that shapes future Talent Intelligence capabilities and workforce decision-making practices. Present findings confidently to executive talent leaders and senior business stakeholders. Drive adoption of analytics by making insights easily understandable, relevant, and actionable. Leadership & Capability Development Lead and develop a high-performing team of data scientists, workforce strategists, analytics consultants, AI practitioners, and product managers. Establish talent intelligence standards, methodologies, and governance frameworks. Foster a culture of innovation, experimentation, continuous learning, and responsible AI usage. Build organizational capabilities in analytics, AI literacy, data storytelling, and product thinking. Manage delivery across global, offshore, vendor, and managed-service teams where applicable. Analytical/Decision Making Responsibilities: Determine strategic priorities for Talent Intelligence and Advanced Analytics programs. Prioritize investments and resource allocation across analytics, AI, and data product portfolios. Define and monitor key workforce intelligence metrics and success measures. Evaluate emerging workforce trends, technologies, and market developments to influence strategic direction. Balance innovation investments with operational scalability, governance, and business value realization. Ensure responsible and ethical use of workforce data and AI solutions. Knowledge and Skills Requirements: Strategic & Business Skills Deep understanding of Talent Intelligence, Planning, Talent Analytics, Workforce Evolution and Talent Strategy. Strong consulting, stakeholder management, and executive influence capabilities. Ability to align talent analytics outcomes with broader business objectives. Strong commercial acumen and understanding of organizational transformation. Analytics & Data Science Skills Advanced statistical analysis and predictive modelling, Machine Learning and AI solution design, Experimental design and causal inference methodologies, Skills intelligence and talent marketplace analytics, Expertise in data storytelling and executive reporting. AI & Emerging Technology Skills Generative AI solutions design and implementation, Microsoft Copilot ecosystem expertise, Copilot Studio and conversational AI development, Agentic AI architecture and orchestration, Retrieval-Augmented Generation (RAG) patterns, Prompt engineering and AI governance, Responsible AI and model explainability, Knowledge management and semantic search solutions. Data & Technology Skills Data Bricks, Microsoft Fabric, Power BI and advanced visualization. SQL and advanced data modelling. Microsoft Copilot, Copilot Studio, Azure AI, Enterprise GenAI platforms and Machine Learning Python and R, Modern cloud analytics architectures. API and data integration concepts, Data governance and metadata management. Leadership Competencies Executive presence, Strategic thinking, Innovation mindset, Change leadership. Product-centric thinking, Collaboration across global teams, Enterprise influence and stakeholder engagement. Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment. Supervision Responsibilities: Work closely with the Leads across Global Talent and wider Talent Functions to ensure the provision of services that support business and functional delivery. Lead / manage a team of expert data analytics specialists responsible for functional execution, also build skills and capabilities of the team. Develop AI capabilities, define key AI competencies for the team, and ensure provision of learning to advance skills Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position. Other Requirements: Due to global nature of the role; travel and willingness to work alternative hours will be required. Due to global nature of the role; English language skills - excellent written and verbal communication will be required. Job Requirements: Education: Bachelor's degree in data science, Analytics, Statistics, Computer Science, Economics, Business Analytics, Organizational Psychology, Industrial Engineering, Human Resources, or related discipline. . click apply for full job details

Modal Window

  • Home
  • Contact
  • About Us
  • FAQs
  • Terms & Conditions
  • Privacy
  • Employer
  • Post a Job
  • Search Resumes
  • Sign in
  • Job Seeker
  • Find Jobs
  • Create Resume
  • Sign in
  • IT blog
  • Facebook
  • Twitter
  • LinkedIn
  • Youtube
© 2008-2026 IT Job Board