Tenacity Python Jobs in Usa

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting over 23,000 healthcare professionals and team members at more than 1,150 locations across 48 states. Our five supported healthcare practices operate under the brands Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. We’re committed to enabling healthcare professionals to focus on patient care while we handle the business operations that support them.

Position Summary

The Director of People Analytics & Artificial Intelligence will build and lead TAG’s next generation people insights and AI strategy. Reporting directly to the CHRO, this role will transform how we use workforce data, predictive analytics, and artificial intelligence to drive business performance across our multi-brand healthcare organization.

This leader will own the vision, strategy, governance, and execution of people analytics and AI initiatives delivering actionable insights, enabling data-driven decision-making, and deploying intelligent automation that improves workforce productivity, engagement, and outcomes. This is a high-impact, enterprise-level role at the intersection of HR, technology, and business strategy.

Key Responsibilities

People Analytics Strategy & Execution

• Develop and execute TAG’s enterprise people analytics roadmap aligned to business strategy.
• Build predictive and prescriptive models to support workforce planning, attrition risk, labor optimization, recruiting effectiveness, productivity, and engagement.
• Create executive dashboards, brand dashboards, and board ready analytics tied to business KPIs (talent acquisition metrics, retention, predictive analytics, labor efficiency, etc.)
• Partner with Finance, Operations, IT, and Brand HR leaders to embed analytics into decision-making.

Artificial Intelligence in HR

• Lead the development and governance of AI-enabled HR solutions (e.g., intelligent recruiting tools, workforce planning models, employee self-service agents, automated case management, talent insights).
• Identify and pilot emerging AI use cases across the employee lifecycle.
• Ensure responsible AI practices, compliance, and ethical guardrails.
• Partner with IT and Legal on data security, governance, and regulatory alignment.

Workforce Intelligence & Predictive Modeling

• Build predictive models for turnover, provider productivity, staffing demand, and succession risk.
• Develop scenario planning capabilities for multi-brand workforce strategies.
• Deliver labor optimization insights across clinical and support functions.
• Support M&A integration analytics and due diligence workforce modeling.

Data Infrastructure & Governance

• Oversee HR data architecture in partnership with HRIS and IT.
• Establish enterprise data definitions, integrity standards, and governance processes.
• Ensure seamless integration between Workday and other enterprise systems.
• Improve reporting automation and reduce manual reporting processes.

Team Leadership

• Build and lead a high-performing People Analytics and AI team.
• Lead center of excellence model supporting all brands across TAG.
• Develop internal capabilities in data literacy across HR leadership.

Executive Partnership

• Serve as a strategic advisor to the CHRO and the People Leadership Team
• Present insights to senior leadership and private equity stakeholders as needed
• Translate complex data into compelling business narratives.

Qualifications

Required

• 8–12+ years of experience in people analytics, workforce strategy, data science, or HR technology.
• Experience leading analytics strategy in a complex, multi-unit or healthcare environment preferred.
• Strong expertise in predictive modeling, workforce analytics, and AI applications.
• Experience with Workday and enterprise HR systems.
• Demonstrated ability to influence executive stakeholders.
• Proven team leadership experience.

Preferred

• Background in healthcare, retail healthcare, dental, medical, or multi-site services.
• Experience in a private equity-backed organization.
• Advanced degree in Data Science, Statistics, Economics, Industrial-Organizational Psychology, HR, or related field.
• Familiarity with Python, R, SQL, Power BI, Tableau, or similar tools.

Leadership Competencies

• Strategic thinker with strong business acumen
• Highly analytical and intellectually curious
• Builder mentality — comfortable creating from the ground up
• Technologically fluent with strong AI awareness
• Strong communicator who simplifies complexity
• High ethical standards regarding AI and data use

Success in this role will result in:

• Measurable improvement in retention and workforce productivity
• Predictive visibility into staffing and labor risks
• AI-enabled efficiency across the HR function
• Executive-level workforce intelligence embedded into enterprise decision-making
• Scalable analytics infrastructure supporting TAG’s growth

Why Join The Aspen Group?

At TAG, we are committed to fostering a high-performance culture that values innovation, collaboration, and excellence. This role provides an opportunity to shape the future of HR at a leading organization, making a meaningful impact on both employees and business success.

*This role is onsite 4 days/week in our Chicago office (Fulton Market District)

• A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

Senior Applied AI Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Applied AI Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

Opportunities available for a Business Intelligence Analyst to join our Community Medical Group family!

We are seeking a Business Intelligence Analyst to support organizational growth by transforming complex data into clear, actionable insights. This role partners closely with executive leadership, IT, and cross functional teams to develop reporting, dashboards, and analytics solutions that drive operational efficiency, strategic planning, and improved performance across the organization.

In addition to our competitive pay, we also offer:

• 17 PTO Days
• 11 paid Holidays
• 1 Floating Holiday
• United Healthcare for our health, dental, and Vison plans
• 401k + Employer Match
• Company paid Life Insurance
• An engaging work environment
• Growth opportunities plus so much more!

What will you be doing?

• Analyze complex structured and unstructured data to identify trends, patterns, and performance insights
• Develop and deliver reports, dashboards, and visualizations using PowerBi.
• Build and maintain data models to support forecasting, predictive analytics, and business planning
• Collaborate with business leaders and technical teams to gather requirements and translate needs into analytics solutions
• Ensure data accuracy, integrity, and governance standards are maintained

What do we need from you?

• Bachelor’s degree in Computer Science, Statistics, or a related field
• Master’s degree preferred
• Minimum of two years of experience in business intelligence, data analytics, or a related role
• Minimum two years with PowerBi reporting
• SQL proficient, familiarity with Python and ETL processes/tools
• Healthcare experience preferred

Passion| Service | Integrity | Accountability

#CMGProud

We are recruiting a highly motivated postdoctoral researcher to join our spatial proteomics laboratory located at the Broad Institute, where we apply mass spectrometry-based spatial proteomics to human skin disease.

Position available from June 2026

Who we are

Our lab addresses fundamental questions in human skin disease, with recent publications in Nature and Nature Methods, including the discovery of a JAK inhibitor-based treatment for a lethal skin disease. We aim to bridge the gap between molecular discovery and clinical translation, and offer access to patient cohorts at MGH, our own state-of-the-art proteomics platform, and the scientific environment of the Broad Institute.

What we offer

• A research program designed for high-impact publications at the interface of proteomics and translational medicine, for real-world clinical impact
• Expertise in Deep Visual Proteomics (DVP)
• A dedicated Orbitrap Astral Zoom platform and full proteomics infrastructure
• Access to deeply phenotyped patient cohorts
• The intellectual environment of the Broad Institute and Harvard Medical School
• Mentorship toward an independent scientific career

What we are looking for

The ideal candidate is a hands-on mass spectrometrist with:

• A PhD in analytical chemistry, biochemistry, proteomics, or a related field
• Deep practical experience operating and optimizing modern mass spectrometers and LC-MS workflows (3+ years)
• Hands-on experience with proteomics sample preparation, including low-input or FFPE tissue workflows
• First-author publications and a genuine curiosity about biology, with a track record of technical innovation: you have built, improved, or solved something others had not
• Comfort with data analysis scripting (Python or R)
• The drive to push limits in a clinically meaningful direction
• Excellent written and spoken English

How to apply

Please include a CV, a brief statement of your research interests & technical background (half page), and contact information for two referees.

We are supporting a leading global life sciences organization with the addition of an IT QC Systems Analyst to support Quality Control (QC) laboratory operations at a regulated manufacturing site in Worcester, MA.

This is a hands‑on, onsite role focused on laboratory systems support, validation, data integrity, and process optimization within a GMP environment.

This role partners closely with laboratory, operations, and enterprise IT teams to ensure systems remain compliant, reliable, and optimized to support daily QC activities.

Contract Details:

• Duration: 12 months
• Work Type: Onsite (Worcester, MA)
• Pay: Competitive hourly rates (W2 or C2C available)

Key Responsibilities:

• Provide technical and operational support for QC laboratory systems, instruments, and associated software in a GMP environment.
• Support validation activities and documentation, including SIQ, SOQ, spreadsheet validation, and periodic validation reviews (PVRs).
• Develop, maintain, and troubleshoot Excel spreadsheets and macros to streamline data processing, reporting, and compliance activities.
• Perform Windows upgrades, PC decommissions, software installations, and system upgrades for lab and operations computers.
• Support digital transformation initiatives by gathering requirements and feeding improvements to enterprise IT teams.
• Assist with process optimization, elimination of manual workflows, and data integrity assurance across laboratory operations.
• Support and administer operational systems such as SAP, Infor, and MES platforms (including POMS).
• Install and support Acronis and NuGenesis software on laboratory PCs.
• Provide support related to OSI PI / data historian systems as needed.

Required Qualifications:

• 3+ years of experience supporting QC laboratory systems or applications in a GMP environment.
• Strong experience with Excel, including macro development and troubleshooting.
• Working knowledge of validation processes and documentation (SIQ, SOQ, spreadsheet validation).
• Experience supporting QC lab instruments, lab software, and Windows‑based systems.
• Hands‑on experience with Windows OS installations, upgrades, and system support.
• Familiarity with enterprise operational systems such as SAP, Infor, or MES (POMS).
• Strong problem‑solving, communication, and organizational skills.

Preferred Experience:

• Background in life sciences, pharmaceutical, or biotech environments.
• Prior experience supporting QC labs in regulated manufacturing settings.
• Experience with ITIL and GAMP frameworks.
• Exposure to Waters Empower, OSI PI, or similar data historian platforms.
• Experience with PowerApps, Power BI, SharePoint administration, or cloud platforms (AWS/Azure).
• Knowledge of Python, Java, or SDLC concepts is a plus.

Education:

• Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent hands‑on experience.

Why This Role:

• This position plays a critical role in maintaining compliance, reliability, and operational excellence within QC laboratories. You’ll work closely with lab users, IT teams, and stakeholders to ensure systems support high‑quality manufacturing and continuous improvement.

Beacon Hill is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply.

Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records.

California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Job Title: Support Engineer

Location: Seattle, WA / Bothell, WA (On-site)

Job Type: Full-time

About Us:

Cinnamon is a forward-thinking healthcare technology company focused on empowering patient advocates through innovative solutions. By automating critical processes, we help healthcare organizations secure financial assistance for their patients efficiently and securely. Our mission is to improve healthcare accessibility while maintaining the highest standards of data integrity, compliance, and customer trust.

Role Summary:

We are seeking a skilled Support Engineer to lead technical support efforts for healthcare customers and internal Cinnamon users. This role partners closely with engineering, product, implementation, clinical operations, and security teams to resolve complex issues, improve system reliability, and deliver a high-quality user experience across the platform. You will handle escalations, guide support processes, and contribute to a strong operational and security posture. The ideal candidate excels at cross-functional troubleshooting, clear communication, and customer empathy.

Key Responsibilities:

• Own customer support issues end to end and ensure timely, accurate resolutions
• Support customer onboarding by validating configuration, reviewing workflows, and preparing customers for go-live
• Deliver advanced training and create materials that help clinical and administrative teams adopt the platform effectively
• Serve as the escalation point for Jira Service queues and guide triage and prioritization
• Provide advanced support to internal users across authentication, access, feature flagging, analytics, logging, VPN, GitHub, password management, and productivity tools
• Investigate and resolve issues across GCP services, , Auth0 flows, LaunchDarkly configuration, Mixpanel events, NordLayer access, GitHub permissions, 1Password access, and related systems
• Maintain and improve documentation in Confluence, including workflow diagrams, runbooks, SOPs, and troubleshooting guides created in Lucidchart
• Perform proactive system monitoring using GCP logs, , uptime indicators, and automated alerts to detect and address issues early
• Reproduce issues, validate fixes, analyze root causes, and collaborate with engineering to improve reliability and data integrity
• Ensure support follows HIPAA-aligned privacy, security, and data handling requirements
• Surface findings from Intruder and SecurityScorecard and track remediation with security and engineering teams
• Identify recurring patterns in support tickets, propose workflow and product improvements, and contribute insights to roadmap discussions
• Mentor junior support engineers and help develop team best practices
• Participate in incident response efforts for issues affecting multiple customers or systems

Required Qualifications:

• 4-6 years of experience providing technical support in a SaaS, healthcare, or cloud-based environment
• Proven experience supporting healthcare customers or healthcare data workflows
• Experience owning escalations and complex troubleshooting efforts in coordination with engineering or product teams
• Proficiency with Jira Service Management for issue triage and workflows analysis
• Experience supporting enterprise SaaS platforms for authentication, identity management, analytics, logging, VPN access, and secure productivity operations
• Hands-on experience with Google Cloud Platform logs, error reports, service metrics, or interactions with Cloud Run and Cloud Functions
• Strong understanding of QA processes, root cause analysis, and cross-environment troubleshooting
• Excellent communication skills with the ability to explain technical issues to non-technical healthcare users
• Strong documentation skills maintaining shared knowledge bases or support playbooks
• Comfort handling workloads involving sensitive healthcare information and security-related tasks

Preferred Qualifications:

• Scripting or automation experience in Python, Bash, or PowerShell
• Familiarity with HL7, X12, FHIR, or common healthcare data exchange patterns
• Experience supporting customers during EHR integrations or workflow onboarding
• Experience with remote support tools such as TeamViewer or AnyDesk
• Experience building documentation or diagrams in Confluence and Lucidchart
• Exposure to security monitoring tools or vulnerability management processes
• Prior mentorship or leadership experience in a support environment

What We Offer:

• A competitive salary and stock options grant
• Holiday schedule according to your country of residence and PTO
• An innovative and high-paced work environment with a flat management hierarchy
• Opportunities for professional growth and advancement in a rapidly scaling company

How to Apply:

Send your resume and a cover letter detailing your relevant experience and interest in the position to We look forward to reviewing your application and exploring how you can help us advance healthcare through innovation and technology!

Join us in transforming healthcare through innovative technology!

Senior Computer Vision Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Computer Vision Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

HYBRID NORTH CHICAGO IL

PAY: $60-$65/hr

REQUIRED:

• PhD or Master's degree with extensive experience in Quantitative Systems Pharmacology or Systems Biology model development,

Proven scientific track record and practical experience in several of the following areas:

• Statistical modeling
• Modeling with differential equations
• Model-Informed Drug Development (MIDD)
• Quantitative Systems Pharmacology (QSP) models
• Scripting languages (R, Matlab, Python)
• Drug development
• Critical thinking and self-reflective
• Persistent and resilient
• Ability to connect unrelated concept and to generate original or unique ideas
• Fluency in English required, German would be a plus

Job Description:

• Pharmacometrics is concerned with the mathematical and statistical analyses and modeling of biological, pharmacological, and physiological data and processes. It quantifies the various aspects of the (desired and undesired) effects of drugs in the context of disease. The models are based on clinical data, and provide a basis for informing efficient drug development, regulatory decisions, and optimal treatment of patients.

Purpose:

• We are building comprehensive Model-Informed Drug Development (MIDD) capabilities in-house to create reusable platform models across our oncology portfolio. We seek a talented and motivated expert to develop advanced Quantitative Systems Pharmacology (QSP) models in oncology that enable Virtual Population simulations. You will act as a MIDD expert for oncology and integrate this knowledge into Clinical Pharmacology strategy for related development programs.

This means:

• Develop QSP platform models for multiple oncology mechanisms including:
• Immune checkpoint inhibitors (IO/ICI) across colorectal, lung, and ovarian cancers
• Antibody-drug conjugates across lung, ovarian, and colorectal cancers
• T-cell engagers and bispecifics/trispecifics in multiple myeloma
• CAR-T therapies in hematologic malignancies
• Create and optimize Virtual Populations to capture patient heterogeneity and support clinical trial design
• Implement new methods to enhance QSP-driven MIDD, including AI/machine learning augmentation for literature screening, model drafting, and virtual population optimization
• Deliver practical results that inform dose and regimen selection, optimal combinations, therapy duration, and study design for active development programs
• Work as part of a coordinated team under the oversight of a senior pharmacometrician within the PMx Oncology Group

Middleware Engineer

Contract to hire

Hybrid (2-3 days onsite)– Newtown Square, PA

The candidate will be a team player in a technology organization responsible for Middleware Infrastructure environment. The organization consists of highly trained system engineers and administrators, whose responsibilities include sustaining, engineering and production support of our Middleware environments. At client, Middleware technologies include OpenShift, Kubernetes, containers, Kafka, Apigee, IBM ESB, IBM MQ, Java, Tomcat, Apache, IIS etc.

Key Responsibilities:

• Manage Middleware products/environments including new installations, upgrades, maintenance and tuning, monitoring and capacity planning.
• Provide system/technical expertise while managing application deployments and troubleshooting application and platform issues.
• Participate in 24x7 rotational On-Call production Middleware Infrastructure administration support for business-critical applications.
• Design, build and manage OpenShift clusters across Development, test and production environments.
• Develop and implement CI/CD pipelines leveraging Jenkins, Git or similar
• Manage and optimize Kubernetes/OpenShift resources, Pods,Services,Routes,operators,Helm Charts etc.)
• Review system logs on critical servers regularly and address system generated errors and warnings immediately to ensure minimum downtimes and disruption to users
• Expertise in reviewing, implementing and supporting Enterprise Security solutions including Web Service Security, SSL Mutual Authentication, SSL certificate management.
• Expertise in Various middleware technologies including Apache, application and web servers, Expertise in administering and architecture of IBM MQ environments, Kafka, Apigee including deployment, upgrades, configurations, setup, performance tuning.
• Regularly review security patches on all servers and install the latest security patches/service packs periodically.

Required Qualifications:

• Bachelor’s degree in computer science , Information Technology with equivalent experience.
• At least ten(10) years of experience of overall support of Middleware Technologies and Infrastructure.
• 5-7 + years’ experience in containerization and Orchestration (Kubernetes, docker Etc.)
• Experience with Kubernetes concepts (pods, deployments, namespaces, RBAC, networking)
• Assist in updating documented guidelines and procedures for the IT-Infrastructure unit and ensure that the documentation reflects any/all procedural changes.
• Perform system health checks of core infrastructure systems as needed.
• Integrate proactive monitoring, logging and alerting using enterprise monitoring tools.
• Must be a self-starter with the ability to work independently and in a collaborative team environment.
• Extensive experience and skill in the use of scripting (bash, python, PowerShell) to report on systems and automate processes.
• Participate in planning, testing and implementation of disaster recovery plans at the Primary and Secondary Disaster Recovery site.
• Certifications are preferred (i.e. Redhat OpenShift/Kubernetes certification,)