170 jobs found

Job DescriptionJob Description OMC Core Behavior Standards: Create Teamwork Lead with Honesty & Integrity Convey Compassion Show Respect Pursue Quality Osceola Medical Center is committed to implementing these behavior standards as a foundation for how we hire, develop, and retain our team members. By intentionally selecting candidates whose values and behaviors align with these standards, we ensure that our mission is lived out every day, creating an environment where patients feel valued, respected, and confident that OMC is the place for all their healthcare needs. Work Schedule: M-F 8-4:30 Job Summary: The Staff Accountant & Data Analyst is responsible for supporting the financial operations of the hospital through general accounting, financial reporting, budgeting, account reconciliations, and data analytics. This position combines traditional accounting responsibilities with business intelligence and data analysis to provide leadership with meaningful financial, operational, and clinical performance information. The Staff Accountant & Data Analyst develops reports, dashboards, and key performance indicators (KPIs) that support strategic planning, revenue cycle optimization, productivity monitoring, and regulatory reporting. The position collaborates with Finance, Revenue Cycle, Human Resources, and department leaders to improve organizational performance through accurate financial management and data-driven decision making. Qualifications: Bachelor's degree in Accounting, Finance, Business Administration, Data Analytics, or related field required. CPA or CPA candidate preferred. Healthcare accounting experience preferred. Critical Access Hospital or rural healthcare experience preferred. Experience with business intelligence reporting preferred. Responsibilities include: (Day-to-day operational duties and responsibilities) Accounting Responsibilities Prepare and record journal entries. Perform monthly account reconciliations and balance sheet reconciliations. Assist with month-end and year-end closing activities. Reconcile bank accounts and cash activity. Assist with fixed asset accounting and depreciation schedules. Maintain prepaid expenses and accrual schedules. Prepare sales tax, payroll tax, and other required filings as assigned. Support annual external financial audits and cost report preparation. Assist with budget preparation and forecasting. Ensure compliance with Generally Accepted Accounting Principles (GAAP). Monitor internal controls and recommend improvements. Financial Analysis Analyze financial performance and identify trends. Prepare variance analyses comparing actual results to budget and prior year. Assist with operating and capital budget development. Develop financial models to support organizational planning. Monitor departmental expenses and provide budget support to department managers. Assist with cash flow forecasting and financial projections. Data Analytics & Business Intelligence Develop dashboards and reports using Power BI, Excel, SQL, or other reporting tools. Analyze operational, financial, and clinical data to identify opportunities for improvement. Monitor productivity metrics and benchmark performance. Perform trend analysis for patient volumes, payer mix, reimbursement, and revenue cycle performance. Validate data accuracy across financial and operational systems. Automate recurring reports to improve efficiency. Data Management Maintain financial databases and reporting systems. Ensure data integrity between accounting, payroll, EHR, and revenue cycle systems. Develop standardized reporting processes. Perform data validation and reconciliation activities. Knowledge, Skills, and Abilities: Learned competencies, capacity, aptitude. Example: excellent problem solver, self-starter, etc. Strong knowledge of GAAP and financial reporting. Understanding of healthcare reimbursement and hospital finance.

Job DescriptionJob Description OMC Core Behavior Standards: Create Teamwork Lead with Honesty & Integrity Convey Compassion Show Respect Pursue Quality Osceola Medical Center is committed to implementing these behavior standards as a foundation for how we hire, develop, and retain our team members. By intentionally selecting candidates whose values and behaviors align with these standards, we ensure that our mission is lived out every day, creating an environment where patients feel valued, respected, and confident that OMC is the place for all their healthcare needs. Work Schedule: M-F 8-4:30 Job Summary: The Staff Accountant & Data Analyst is responsible for supporting the financial operations of the hospital through general accounting, financial reporting, budgeting, account reconciliations, and data analytics. This position combines traditional accounting responsibilities with business intelligence and data analysis to provide leadership with meaningful financial, operational, and clinical performance information. The Staff Accountant & Data Analyst develops reports, dashboards, and key performance indicators (KPIs) that support strategic planning, revenue cycle optimization, productivity monitoring, and regulatory reporting. The position collaborates with Finance, Revenue Cycle, Human Resources, and department leaders to improve organizational performance through accurate financial management and data-driven decision making. Qualifications: Bachelor's degree in Accounting, Finance, Business Administration, Data Analytics, or related field required. CPA or CPA candidate preferred. Healthcare accounting experience preferred. Critical Access Hospital or rural healthcare experience preferred. Experience with business intelligence reporting preferred. Responsibilities include: (Day-to-day operational duties and responsibilities) Accounting Responsibilities Prepare and record journal entries. Perform monthly account reconciliations and balance sheet reconciliations. Assist with month-end and year-end closing activities. Reconcile bank accounts and cash activity. Assist with fixed asset accounting and depreciation schedules. Maintain prepaid expenses and accrual schedules. Prepare sales tax, payroll tax, and other required filings as assigned. Support annual external financial audits and cost report preparation. Assist with budget preparation and forecasting. Ensure compliance with Generally Accepted Accounting Principles (GAAP). Monitor internal controls and recommend improvements. Financial Analysis Analyze financial performance and identify trends. Prepare variance analyses comparing actual results to budget and prior year. Assist with operating and capital budget development. Develop financial models to support organizational planning. Monitor departmental expenses and provide budget support to department managers. Assist with cash flow forecasting and financial projections. Data Analytics & Business Intelligence Develop dashboards and reports using Power BI, Excel, SQL, or other reporting tools. Analyze operational, financial, and clinical data to identify opportunities for improvement. Monitor productivity metrics and benchmark performance. Perform trend analysis for patient volumes, payer mix, reimbursement, and revenue cycle performance. Validate data accuracy across financial and operational systems. Automate recurring reports to improve efficiency. Data Management Maintain financial databases and reporting systems. Ensure data integrity between accounting, payroll, EHR, and revenue cycle systems. Develop standardized reporting processes. Perform data validation and reconciliation activities. Knowledge, Skills, and Abilities: Learned competencies, capacity, aptitude. Example: excellent problem solver, self-starter, etc. Strong knowledge of GAAP and financial reporting. Understanding of healthcare reimbursement and hospital finance.

AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Description JOIN THE ECS4Kids TEAM ECS4Kids (formerly Episcopal Children's Services) is a 2026 Top Workplace that honors young children's immense potential by helping them enter school ready to learn. We cultivate lifelong learners by immersing children in enriching guided experiences and discovery-oriented approaches. Through programs like Voluntary Prekindergarten (VPK), Head Start, School Readiness, Child Care Resource & Referral (CCRR), and more, our dedicated professionals work with families and caregivers throughout Florida to promote children's well-being. These enable us to strengthen key areas including motor development, cognitive development, social and emotional development, language and communication skills, and problem-solving skills. Partner with us to help empower communities to rise above generational poverty with comprehensive early childhood education and holistic family support. We have career opportunities available in several counties throughout Northeast and Central Florida. ECS4Kids offers a competitive benefit package which includes: Medical, dental and vision insurance 403(b) plan with 5% employer match Employee Assistance Program (EAP) Long-term & short-term disability insurance Employer-paid life insurance Paid holidays Generous paid time off Career development Qualifying employer for Public Service Loan Forgiveness Program Salary commensurate with experience. GENERAL DESCRIPTION: The Vice President of Technology & Security serves as a strategic technology partner to executive leadership, translating agency goals into a multi-year technology and security roadmap. The Vice President provides strategic leadership and oversight of all IT and information security functions for Episcopal Children's Services (ECS4Kids), ensuring the reliability, security, compliance, and effectiveness of the agency's technology infrastructure, cloud platforms, telecommunications, and information assets across a 24-county service territory in Florida and Georgia. Serving as the agency's Information Systems Security Oficer (ISSO), the Vice President owns cybersecurity, data governance, business continuity/disaster recovery, vendor management, technology planning, and regulatory compliance, and protects sensitive child, family, employee, and agency information. The role develops technology policies, procedures, and security controls that align with organizational strategy, compliance requirements, and risk tolerance. The Vice President advises executive leadership and the Board of Directors on technology strategy, cybersecurity risk, and emerging technologies, and builds the technical and leadership capacity of a lean IT team supporting more than 1,000 end users across the agency's geographic footprint. In a department of this size, the Vice President is expected to operate as a player-coach - moving fluidly between strategic leadership and direct technical engagement as operational demands require. Major Responsibilities Partner with leadership to anticipate technology needs, develop a multi-year technology roadmap, and identify opportunities to improve business processes, service delivery, and efficiency through technology. Partner with Fiscal, Grants, and Program leadership to align technology investment with agency growth, funder priorities, and grant competitiveness. Serve as liaison between users, departments, vendors, and technical support providers, and report on technology performance, risk, and compliance to executive leadership and the Board. SaaS & Cloud Platform Management Oversee administration, configuration, security, and integration of the agency's SaaS ecosystem, including Microsoft 365, NetSuite (ERP), Paylocity (HCM), and other critical cloud platforms used across all program operations. Lead evaluation, selection, procurement, contract negotiation, and lifecycle management of SaaS and technology vendors, ensuring vendors meet security, compliance, and performance obligations. Maintain system access controls, identity management, and MFA enforcement across all cloud platforms; ensure proper ofboarding and access revocation protocols. Oversee implementation, upgrades, and vendor support of software, enterprise platforms, and network infrastructure, coordinating with the IT Manager and Specialists across the territory. Manage IT infrastructure - networks, cloud platforms, servers, telecommunications, and end-user devices - and oversee implementation, upgrades, and vendor support of software and enterprise platforms. Telecommunications & End User Support Manage IT asset lifecycle - end-user devices, mobile devices, peripherals - including procurement, deployment, tracking, and disposal, maintaining property custodian responsibilities. Oversee end user support operations, establishing service standards, escalation protocols, and performance metrics for the IT team's helpdesk and field support functions. Ensure the continuous availability of telecommunications infrastructure - internet connectivity, VoIP, and network services - across all 24 counties of the agency's service territory, minimizing downtime for more than 1,000 end users. Serve as ECS's Information Systems Security Oficer (ISSO), leading a comprehensive cybersecurity program: risk assessments, vulnerability and threat management, identity/access controls, MFA, endpoint protection, security monitoring, and awareness training (including for Microsoft 365, NetSuite, Paylocity, and other cloud systems). Lead incident response for cybersecurity events and data breaches, including investigation, containment, recovery, and required notiications. Provide direct technical support and hands-on problem-solving when escalated issues exceed team capacity or require executive-level intervention - including troubleshooting critical system outages, network failures, SaaS misconfigurations, or security incidents alongside IT staff. Serve as subject matter expert for third-party compliance documentation: dissect SOC 1 (Type II) and SOC 2 (Type II) reports from critical SaaS vendors, identify control deficiencies, evaluate system bridge letters, define required Complementary User Entity Controls (CUECs), and perform material weakness assessments to maintain internal compliance. Track and secure technology assets, mobile devices, and remote/cloud systems; maintain confidentiality of sensitive information encountered in the role. Establish agency-wide data governance (classification, privacy, retention, disposal, quality) and ensure database security and access controls. Ensure compliance with applicable state, federal, contractual, and funder technology and privacy requirements, including Head Start and Florida Early Learning standards; coordinate related audits, assessments, and cyber insurance requirements. Maintain documented IT policies, procedures, system/security documentation, and disaster recovery, incident response, and business continuity plans, including periodic testing and succession planning within IT. Direct technology procurement, vendor selection, contract negotiation, and lifecycle management, ensuring vendors meet security and compliance obligations. Develop and administer the annual IT operating and capital budget, including cost-beneit analysis and hardware planning; fulfill property custodian responsibilities. Supervise, coach, and develop IT staff, fostering a collaborative, customer-service-oriented, and continuously improving department. Evaluate emerging technologies (e.g., AI, automation) and establish governance and acceptable-use standards for their adoption. Serve in contract administrator/manager/supervisor and emergency duty roles as assigned; perform other related duties as assigned. These essential job functions are not a complete statement of duties. Employees may be required to perform other related duties as assigned. Requirements Education and Experience Bachelor's degree in Information Technology, Computer Science, Information Systems, Cybersecurity, Business Technology, or a related field. Seven (7) to ten (10) years of progressively responsible IT experience, including leadership over cybersecurity, SaaS/cloud platforms, telecommunications, end user support, vendor management, compliance, and strategic technology planning. Demonstrated experience reading and interpreting SOC 1 (Type II) and SOC 2 (Type II) audit reports, evaluating bridge letters, defining CUECs, and conducting material weakness assessments in a compliance context. Experience leading information security initiatives, technology projects, and business continuity/transformation efforts preferred. Experience in nonprofit, education, healthcare, human services, government, or similarly regulated environments preferred. (A comparable amount of training, education, or experience can be substituted for minimum qualifications.) Skills, Knowledge and Abilities Ability to provide strategic, forward-looking IT leadership, identifying risks and recommending proactive improvements. Demonstrated ability to operate effectively at both the strategic and operational level - equally comfortable presenting cybersecurity risk to the Board and troubleshooting a network outage or SaaS misconfiguration alongside IT staff. Ability to deine problems, interpret technical and diagrammatic instructions, and draw valid conclusions from data click apply for full job details

Reporting into the Chief Financial Officer, the Strategy, Operations & Research team is a nimble group that partners with senior leaders across Match Group and our portfolio businesses on their most important strategic priorities. The team shapes the company's long-term direction by bringing analytical rigor, strategic foresight, and clear operational guidance. We bridge high-level vision and day-to-day execution, ensuring the organization is aligned and moving effectively toward shared goals. As Strategic Analytics & Reporting Manager, you'll be the connective tissue between data and decision-making for the portfolio - pulling together information across brands and functions (product, marketing, finance, research) into one credible view of how the business is performing. Rather than going deep in a single data domain, you'll range across all of them: today it might be a cross-brand user-overlap analysis, tomorrow a competitive intelligence readout for the Board, and next week a same-day pull to answer the CFO's question. You should be as comfortable writing a SQL query as you are presenting the "so what" to an executive. Day-to-day work will include a mix of recurring reporting, ad-hoc analyses, and longer-term projects. This role will work across functions (research, product, finance, marketing, etc.) and across Business Units (Tinder, Hinge, E&E). You will report to the Senior Director, Strategy & Operations and work closely with peers across Strategy, Operations, and Consumer Research - as well as with specialized analytics teams elsewhere at Match Group - translating their outputs, and your own analysis, into portfolio-level insight for corporate leadership. As part of a corporate team supporting a portfolio of brands, you will engage with a wide range of senior stakeholders and adapt seamlessly to different business needs, work styles, and communication preferences. Know where you belong. Match Group is a leading provider of dating services across the globe. Our portfolio includes Tinder, Match, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our platforms - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. How you'll make an impact: Executive reporting: Own recurring, cross-brand reporting - consolidating metrics like MAU, revenue, and payer penetration from multiple data sources into a consistent "state of the business" view for corporate and BU leadership. Competitive intelligence: Lead market-landscape and competitive intelligence reporting (e.g., Sensor Tower), size total addressable market, and flag emerging trends and competitive threats for executive and Board audiences. Cross-brand analytics: Analyze how users move across Match Group's brands - overlap, migration, and cannibalization - to inform portfolio strategy and resource-allocation decisions. Ad hoc executive support: Respond to requests from executives and the Board, quickly pulling and synthesizing data across functions into a clear point of view and recommendation. Continuous improvement: Simplify and automate the team's reporting and dashboarding so more time goes to analysis and less to manual upkeep. We could be a match if: You have 4+ years of professional experience in analytics, business intelligence, FP&A, or a related data-driven field. Product analytics backgrounds are a strong fit, but strong SQL skills and communication matter more to us than a specific pedigree. You have strong SQL skills (Databricks or Redshift preferred) and are comfortable combining data across multiple, imperfect sources rather than working within one clean system. You'd rather have broad fluency across marketing, product, finance, and research data than deep specialization in any single one of them. You are proficient in Excel (pivot tables, formulas, charts) and at least one BI/visualization tool (Quicksight, Tableau, Looker, or similar). Your written and verbal communication skills are excellent, and you have experience building executive-facing presentations - you can tell the story, not just show the numbers. You're comfortable with ambiguity, shifting priorities, and being pulled into whatever question the business needs answered that week. You are fluent with AI tools, and always looking for the next one that makes the work faster or sharper. Bonus: experience with competitive intelligence or market-sizing tools (e.g., Sensor Tower), or prior exposure to cross-brand/multi-product analytics. Bachelor's degree required; a quantitative or technical concentration is a plus but not required. Applicants will be required to complete a SQL skills assessment. $100,000 - $130,000 a year The compensation range listed above is representative of the base salary offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of Dallas, TX. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 18 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact . Note: We will only respond to inquiries regarding accommodations and if you have any questions about your job application, please reach out to your Talent Acquisition Partner directly.

Reporting into the Chief Financial Officer, the Strategy, Operations & Research team is a nimble group that partners with senior leaders across Match Group and our portfolio businesses on their most important strategic priorities. The team shapes the company's long-term direction by bringing analytical rigor, strategic foresight, and clear operational guidance. We bridge high-level vision and day-to-day execution, ensuring the organization is aligned and moving effectively toward shared goals. As Strategic Analytics & Reporting Manager, you'll be the connective tissue between data and decision-making for the portfolio - pulling together information across brands and functions (product, marketing, finance, research) into one credible view of how the business is performing. Rather than going deep in a single data domain, you'll range across all of them: today it might be a cross-brand user-overlap analysis, tomorrow a competitive intelligence readout for the Board, and next week a same-day pull to answer the CFO's question. You should be as comfortable writing a SQL query as you are presenting the "so what" to an executive. Day-to-day work will include a mix of recurring reporting, ad-hoc analyses, and longer-term projects. This role will work across functions (research, product, finance, marketing, etc.) and across Business Units (Tinder, Hinge, E&E). You will report to the Senior Director, Strategy & Operations and work closely with peers across Strategy, Operations, and Consumer Research - as well as with specialized analytics teams elsewhere at Match Group - translating their outputs, and your own analysis, into portfolio-level insight for corporate leadership. As part of a corporate team supporting a portfolio of brands, you will engage with a wide range of senior stakeholders and adapt seamlessly to different business needs, work styles, and communication preferences. Know where you belong. Match Group is a leading provider of dating services across the globe. Our portfolio includes Tinder, Match, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our platforms - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. How you'll make an impact: Executive reporting: Own recurring, cross-brand reporting - consolidating metrics like MAU, revenue, and payer penetration from multiple data sources into a consistent "state of the business" view for corporate and BU leadership. Competitive intelligence: Lead market-landscape and competitive intelligence reporting (e.g., Sensor Tower), size total addressable market, and flag emerging trends and competitive threats for executive and Board audiences. Cross-brand analytics: Analyze how users move across Match Group's brands - overlap, migration, and cannibalization - to inform portfolio strategy and resource-allocation decisions. Ad hoc executive support: Respond to requests from executives and the Board, quickly pulling and synthesizing data across functions into a clear point of view and recommendation. Continuous improvement: Simplify and automate the team's reporting and dashboarding so more time goes to analysis and less to manual upkeep. We could be a match if: You have 4+ years of professional experience in analytics, business intelligence, FP&A, or a related data-driven field. Product analytics backgrounds are a strong fit, but strong SQL skills and communication matter more to us than a specific pedigree. You have strong SQL skills (Databricks or Redshift preferred) and are comfortable combining data across multiple, imperfect sources rather than working within one clean system. You'd rather have broad fluency across marketing, product, finance, and research data than deep specialization in any single one of them. You are proficient in Excel (pivot tables, formulas, charts) and at least one BI/visualization tool (Quicksight, Tableau, Looker, or similar). Your written and verbal communication skills are excellent, and you have experience building executive-facing presentations - you can tell the story, not just show the numbers. You're comfortable with ambiguity, shifting priorities, and being pulled into whatever question the business needs answered that week. You are fluent with AI tools, and always looking for the next one that makes the work faster or sharper. Bonus: experience with competitive intelligence or market-sizing tools (e.g., Sensor Tower), or prior exposure to cross-brand/multi-product analytics. Bachelor's degree required; a quantitative or technical concentration is a plus but not required. Applicants will be required to complete a SQL skills assessment. $100,000 - $130,000 a year The compensation range listed above is representative of the base salary offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of Dallas, TX. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 18 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact . Note: We will only respond to inquiries regarding accommodations and if you have any questions about your job application, please reach out to your Talent Acquisition Partner directly.

Reporting into the Chief Financial Officer, the Strategy, Operations & Research team is a nimble group that partners with senior leaders across Match Group and our portfolio businesses on their most important strategic priorities. The team shapes the company's long-term direction by bringing analytical rigor, strategic foresight, and clear operational guidance. We bridge high-level vision and day-to-day execution, ensuring the organization is aligned and moving effectively toward shared goals. As Strategic Analytics & Reporting Manager, you'll be the connective tissue between data and decision-making for the portfolio - pulling together information across brands and functions (product, marketing, finance, research) into one credible view of how the business is performing. Rather than going deep in a single data domain, you'll range across all of them: today it might be a cross-brand user-overlap analysis, tomorrow a competitive intelligence readout for the Board, and next week a same-day pull to answer the CFO's question. You should be as comfortable writing a SQL query as you are presenting the "so what" to an executive. Day-to-day work will include a mix of recurring reporting, ad-hoc analyses, and longer-term projects. This role will work across functions (research, product, finance, marketing, etc.) and across Business Units (Tinder, Hinge, E&E). You will report to the Senior Director, Strategy & Operations and work closely with peers across Strategy, Operations, and Consumer Research - as well as with specialized analytics teams elsewhere at Match Group - translating their outputs, and your own analysis, into portfolio-level insight for corporate leadership. As part of a corporate team supporting a portfolio of brands, you will engage with a wide range of senior stakeholders and adapt seamlessly to different business needs, work styles, and communication preferences. Know where you belong. Match Group is a leading provider of dating services across the globe. Our portfolio includes Tinder, Match, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our platforms - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. How you'll make an impact: Executive reporting: Own recurring, cross-brand reporting - consolidating metrics like MAU, revenue, and payer penetration from multiple data sources into a consistent "state of the business" view for corporate and BU leadership. Competitive intelligence: Lead market-landscape and competitive intelligence reporting (e.g., Sensor Tower), size total addressable market, and flag emerging trends and competitive threats for executive and Board audiences. Cross-brand analytics: Analyze how users move across Match Group's brands - overlap, migration, and cannibalization - to inform portfolio strategy and resource-allocation decisions. Ad hoc executive support: Respond to requests from executives and the Board, quickly pulling and synthesizing data across functions into a clear point of view and recommendation. Continuous improvement: Simplify and automate the team's reporting and dashboarding so more time goes to analysis and less to manual upkeep. We could be a match if: You have 4+ years of professional experience in analytics, business intelligence, FP&A, or a related data-driven field. Product analytics backgrounds are a strong fit, but strong SQL skills and communication matter more to us than a specific pedigree. You have strong SQL skills (Databricks or Redshift preferred) and are comfortable combining data across multiple, imperfect sources rather than working within one clean system. You'd rather have broad fluency across marketing, product, finance, and research data than deep specialization in any single one of them. You are proficient in Excel (pivot tables, formulas, charts) and at least one BI/visualization tool (Quicksight, Tableau, Looker, or similar). Your written and verbal communication skills are excellent, and you have experience building executive-facing presentations - you can tell the story, not just show the numbers. You're comfortable with ambiguity, shifting priorities, and being pulled into whatever question the business needs answered that week. You are fluent with AI tools, and always looking for the next one that makes the work faster or sharper. Bonus: experience with competitive intelligence or market-sizing tools (e.g., Sensor Tower), or prior exposure to cross-brand/multi-product analytics. Bachelor's degree required; a quantitative or technical concentration is a plus but not required. Applicants will be required to complete a SQL skills assessment. $100,000 - $130,000 a year The compensation range listed above is representative of the base salary offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of Dallas, TX. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 18 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact . Note: We will only respond to inquiries regarding accommodations and if you have any questions about your job application, please reach out to your Talent Acquisition Partner directly.

About Hightouch Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works. Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible. Named a Leader in the 2026 Gartner Magic Quadrant for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Ramp, and PetSmart. At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient - and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you. About the Role We are looking for a developer productivity engineer to take responsibility for our monorepo and the "path to production" for over 50 engineers pushing over 75 commits a day with continuous deployment to production. This presents an exciting challenge where you can apply your expertise in helping teams ship fast and safe to meaningfully improve the productivity of our engineering team. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base. Our monorepo is primarily Javascript/Typescript with some Go and Python. While the primary responsibility of this job is developer productivity, to fit in with the team and be productive in our codebase generally, strong computer science and development fundamentals will be required. As part of your onboarding, you'll spend significant time writing and delivering features to gain empathy for the current dev flow. We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company. Some of the problems we'll be working on include: Own the build : You'll be the single threaded owner for the build/test/deploy of our software and how each team fits into it Monorepo productivity: Detangle our build/test/deploy patterns so teams can move fast and not block each other. Investigate/implement a tool like turbo repo to speed builds and separate concerns Drive excellence in testing: We need to improve our top-down and team-level views into test coverage + support an ever growing matrix of data sources, data destinations, and enrichment patterns. An excellent engineer in this role will be able to "hold up a mirror" to our dev teams, helping each team understand where they have gaps Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base Operational excellence: Support an increase in our ability to catch issues before they reach production and respond quickly if they do We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $400,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation. About You You are an engineer with a passion for solving hard technical problems that generate real value for customers. You're motivated by high ownership and are comfortable in a fast-paced, startup environment. You've driven significant improvement in the productivity of a 50+ person development team by making high-leverage changes to their build/test/deploy processes. While you likely have some infra chops, this is not an infra role: you have strong development fundamentals and are comfortable driving framework-level improvements across multiple teams. This could take several forms: You've been a member of a developer-productivity team/function for an outstanding development team You've organically become "the build person" at a fast-growing startup and helped bring order to chaos You've personally delivered code that has improved cross-team metrics related to developer productivity (e.g., DORA metrics, coverage, etc) In addition to any of the above, we're looking for someone who can dive into feature code, including complicated backend code, as needed. Interview Process Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don't ask you to write code to solve technical brainteasers that don't appear in your day to day job. Apply: Curl on port 13784 and have followed those instructions before applying. It'll only take a minute! Recruiter Screen: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit System Design Screen: Designing a data processing feature end-to-end. Developer Productivity Skills Interview: We'll dive into your experience making teams productive through a discussion of past projects and tooling you've used. Hiring Manager Interview: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles. System Design Interview: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical. We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for. E-Verify Statement Hightouch participates in E-Verify. After you join the team, we'll verify your eligibility to work in the U.S. by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only - we never use E-Verify to pre-screen applicants. E-Verify Notice E-Verify Notice (Spanish) Right to Work Notice Right to Work Notice (Spanish)

At Niagara, we're looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water. Consider applying here, if you want to: Work in an entrepreneurial and dynamic environment with a chance to make an impact. Develop lasting relationships with great people. Have the opportunity to build a satisfying career. We offer competitive compensation and benefits packages for our Team Members. GenAI Software Engineer II (Production Systems)The AI Software Engineer II / IT Developer II will be a key member of our Integration and Middleware Development team, with a strong hands-on focus on AI/ML-driven engineering solutions. The ideal candidate will bring practical experience designing, building, and deploying AI/ML and Generative AI capabilities within enterprise systems, while also contributing to scalable integration and middleware platforms. This role requires hands-on experience applying machine learning, Generative AI, and intelligent automation techniques to solve real engineering and business problems - including intelligent monitoring, anomaly detection, predictive workflows, AI-assisted development, and intelligent integration patterns. The candidate should demonstrate practical experience working with ML models, LLM-based solutions, data pipelines, and AI-powered system enhancements. The candidate will specialize in designing, developing, and maintaining scalable APIs, microservices, and middleware technologies while embedding AI/ML capabilities into enterprise integration workflows. Strong expertise in Node.js, Python, modern microservices architectures, and API design patterns is expected. The Developer will collaborate closely across the IT Department with full-stack, data science, database, and ERP teams, as well as cross-functional business partners to deliver intelligent, scalable, and AI-enabled enterprise solutions. Essential Functions Execute established Software Development Life Cycle (SDLC) processes. Collaborate with business analysts and stakeholders to develop software solutions aligned with business processes, data usage, and system flows. Create detailed process flows, high-level functional designs, and technical design specifications based on business requirements. Write clean, scalable, efficient, and testable code. Deploy software solutions and proactively evaluate user feedback. Troubleshoot, debug, maintain, and upgrade existing systems and applications. Adhere to enterprise standards and development guidelines, including documentation, version control, testing, and migration practices. Plan, track, escalate, and deliver assigned tasks effectively and on schedule. Provide reliable customer support for critical application issues. Collaborate effectively with onsite and offshore teams. Continuously enhance job knowledge by exploring state-of-the-art development tools, programming techniques, and industry trends. Communicate proactively with internal and external partners. Participate in scheduled and off-hours support rotations as needed. Please note this job description outlines primary duties but is not exhaustive. Responsibilities may evolve over time. Additional Expectations: Analyze and develop technical solutions aligned with business and customer requirements Exhibit strong analytical, problem-solving, and critical-thinking skills Demonstrate the ability to translate complex business and technical needs into actionable solutions Effectively manage multiple priorities and concurrent projects Possess strong written and verbal communication skills, including detailed documentation of technical incidents and processes Work independently while maintaining strong team-oriented interpersonal skills, including collaboration, facilitation, and effective interfacing with diverse groups Maintain a high degree of professionalism and business judgment Deliver effective and professional presentations to peers, management, and technical professionals Proficient with standard productivity tools such as Microsoft Office and Outlook Exhibit excellent interpersonal skills, organizational proficiency, and planning capabilities Experience with DevOps practices and CI/CD pipelines is a plus Qualifications Minimum Qualifications: 4-5 Years - Hands-on experience designing and implementing AI/ML/GenAI solutions, including: Building and integrating machine learning models into production systems Working with Large Language Models (LLMs), prompt engineering, or AI-assisted automation Implementing intelligent monitoring, anomaly detection, predictive workflows, or AI-driven error handling Applying AI/ML to engineering productivity, automation, or enterprise system enhancements Demonstrated practical implementation, not just conceptual knowledge 4-5 Years - Cloud technologies experience (Azure preferred, AWS acceptable), including deployment of AI/ML or data-driven services 4-5 Years - Experience with Enterprise Integrations and middleware development (MuleSoft) 4-5 Years - Experience with Node.js and Python development (including experience using Python for data processing, ML workflows, or AI integration) 4-5 Years - Experience building scalable APIs/microservices with demonstrated understanding of architectural patterns 3 Years - Experience managing technical projects and/or working in roles requiring substantial cross-team collaboration Experience may include a combination of work experience and education experience may include a combination of work experience and education Preferred Qualifications: 6 Years - Hands-on experience designing, training, fine-tuning, or integrating AI/ML/GenAI solutions in production environments Experience working with: LLM frameworks and AI platforms (Azure OpenAI, OpenAI, Hugging Face, etc.) Model lifecycle management, evaluation, or monitoring practices AI-powered automation or intelligent workflow orchestration Data preprocessing, feature engineering, or model optimization 6 Years - Cloud technologies experience (Azure preferred, AWS acceptable) 5 Years - Experience with Enterprise Integrations and middleware development (MuleSoft) 5 Years - Experience building scalable APIs/microservices with demonstrated understanding of architectural patterns 4 Years - Experience managing technical projects and/or working in roles requiring substantial cross-team collaboration experience may include a combination of work experience and education Education Minimum Required: Bachelor's Degree in Computer Science, Engineering, or related field Preferred: Master's Degree in Computer Science, Engineering, or related field Typical Compensation Range Pay Rate Type: Salary$100,464.14 - $145,673.02 / Yearly Benefits Our Total Rewards package is thoughtfully designed to support both you and your family: Regular full-time team members are offered a comprehensive benefits package, while part-time, intern, and seasonal team members are offered a limited benefits package. Paid Time Off for holidays, sick time, and vacation time Paid parental and caregiver leaves Medical, including virtual care options Dental Vision 401(k) with company match Health Savings Account with company match Flexible Spending Accounts Expanded mental wellbeing benefits including free counseling sessions for all team members and household family members Family Building Benefits including enhanced fertility benefits for IVF and fertility preservation plus adoption, surrogacy, and Doula reimbursements Income protection including Life and AD&D, short and long-term disability, critical illness and an accident plan Special discount programs including pet plans, pre-paid legal services, identity theft, car rental, airport parking, etc. Tuition reimbursement, college savings plan and scholarship opportunities And more! Los Angeles County applicants only Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and any other applicable local and state laws. Any employment agency, person or entity that submits a résumé into this career site or to a hiring manager does so with the understanding that the applicant's résumé will become the property of Niagara Bottling, LLC. Niagara Bottling, LLC will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. Employment agencies that have fee agreements with Niagara Bottling, LLC and have been engaged on a search shall submit résumé to the designated Niagara Bottling, LLC recruiter or, upon authorization, submit résumé into this career site to be eligible for placement fees.

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.