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<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for an experienced Senior DevOps Engineer to join a technology engineering team supporting enterprise-scale platforms and advanced analytics environments.<br> The role will focus on building and managing automated CI/CD pipelines, containerized platforms, infrastructure automation, security integration, and production engineering across highly available and regulated environments.<br> The ideal candidate will have strong hands-on experience with Jenkins, GitHub Actions, ArgoCD, Kubernetes/OpenShift, Docker, Helm, Terraform, Ansible, Groovy, Python, Linux, and Git , with a strong understanding of DevOps, SRE, Infrastructure as Code, security engineering, and Agile delivery practices.<br> We are looking for someone who enjoys collaboration, experimentation, solving problems, and continuously learning .<br> Key Responsibilities Design, build, maintain, and optimize automated CI/CD pipelines for Python-based applications and microservices.<br> Develop and manage CI/CD pipelines using Jenkins, GitHub Actions, and ArgoCD .<br> Build and maintain microservices CI/CD pipelines using modern DevOps practices.<br> Develop and maintain Helm-based deployment pipelines for containerized applications.<br> Automate application deployment, configuration management, infrastructure provisioning, and operational processes.<br> Implement and maintain GitOps-based deployment workflows using tools such as ArgoCD.<br> Automate security, compliance, and regulatory checks within CI/CD pipelines.<br> Integrate DevSecOps tools into CI/CD pipelines, including tools such as SonarQube, Checkmarx, Sysdig, Nexus, Nexus IQ, Cosign , and related security/quality tooling.<br> Implement automated patching and configuration management across environments.<br> Design, deploy, and manage containerized applications using Docker, Kubernetes, OpenShift, and Podman .<br> Work with Terraform, Ansible , and other Infrastructure as Code (IaC) tools to provision and manage environments.<br> Develop automation scripts using Groovy, Python, and Linux shell scripting .<br> Support API development and integration within deployment and automation pipelines.<br> Troubleshoot and resolve infrastructure, application, deployment, and pipeline-related issues.<br> Provide production support and participate in on-call/production support rotations where required.<br> Monitor application and platform health using tools such as ELK, Prometheus, and Grafana .<br> Implement and maintain secure authentication and authorization mechanisms for microservices.<br> Collaborate with development, security, infrastructure, platform, and product teams to ensure successful delivery and adoption of technology platforms.<br> Support application and platform onboarding through self-service and automation.<br> Work with teams to ensure smooth transition, adoption, and consumption of platform services.<br> Contribute to technical design discussions, engineering standards, automation strategies, and platform improvements.<br> Continuously evaluate emerging technologies and industry best practices to improve engineering efficiency and platform capabilities.<br> Required Technical SkillsCI/CD &amp; DevOps Strong hands-on experience with CI/CD pipelines .<br> Experience with Jenkins and/or GitHub Actions .<br> Experience with ArgoCD / GitOps .<br> Strong understanding of pipeline automation using Groovy, Python, or Pipeline-as-Code .<br> Experience building CI/CD pipelines for microservices and Python-based applications .<br> Experience with Helm-based deployment pipelines .<br> Understanding of DevOps and SRE principles .<br> Strong understanding of 12-Factor application principles .<br> Containers &amp; Orchestration Strong hands-on experience with Docker .<br> Experience with Kubernetes and/or OpenShift .<br> Exposure to Podman .<br> Experience deploying and managing containerized applications in enterprise environments.<br> Infrastructure as Code &amp; Automation Hands-on experience with Terraform .<br> Experience with Ansible .<br> Strong scripting experience using: Groovy Python Linux Shell/Bash Security &amp; DevSecOps Experience integrating security and compliance checks into CI/CD pipelines.<br> Knowledge of DevSecOps practices and security engineering.<br> Exposure to tools such as: SonarQube Checkmarx Sysdig Nexus Nexus IQ Cosign Understanding of secure software delivery and regulatory requirements.<br> Cloud &amp; Infrastructure Strong understanding of infrastructure, networking, and cloud computing concepts.<br> Hands-on or working experience with public cloud platforms such as: Microsoft Azure AWS OCI Understanding of cloud services across compute, storage, and networking .<br> Operating Systems &amp; Source Control Strong knowledge of Linux/Unix operating systems .<br> Good experience with Linux shell scripting.<br> Strong experience with Git and source-control practices.<br> Working knowledge of Windows environments is desirable.<br> Monitoring &amp; Observability Experience with logging, monitoring, and observability platforms such as: ELK Prometheus Grafana APIs &amp; Microservices Understanding of REST/API development and integration .<br> Experience working with microservices architectures .<br> Understanding of microservice authentication and authorization .<br> Experience integrating APIs into CI/CD and automation workflows.<br> Required Experience 3–5+ years of engineering, DevOps, platform engineering, or operational experience.<br> At least 3 years of relevant experience in a similar DevOps/Platform Engineering role.<br> Experience working within large, complex, highly available enterprise environments .<br> Experience supporting systems with high availability, transaction volumes, and geographically distributed environments is preferred.<br> Strong experience in CI/CD, containerization, infrastructure automation, and production support .<br> Domain Experience Candidates from the following environments are preferred: Banking Financial Services FinTech Insurance Telecommunications Healthcare Government Or other highly regulated / enterprise environments Nice to Have Public cloud experience with Azure, AWS, or OCI .<br> Experience supporting Machine Learning / ML projects or analytics platforms.<br> Python programming experience.<br> Experience with advanced analytics or data engineering platforms.<br> Exposure to enterprise platform engineering and self-service infrastructure.<br> Experience implementing cost optimization and platform efficiency initiatives.<br> Agile &amp; Delivery Experience working in Agile engineering environments .<br> Understanding of Agile/DevOps delivery methodologies.<br> Ability to work across development, operations, security, infrastructure, and product teams.<br> Experience managing delivery from inception through production .<br> Strong understanding of operational support within a DevOps/SRE model.<br> Ability to work under pressure and manage multiple priorities.<br> Strong troubleshooting, incident management, and problem-solving skills.<br> Key Behavioral Competencies We are looking for someone who: Enjoys collaboration and cross-functional teamwork.<br> Likes to experiment with new technologies and approaches.<br> Focuses on understanding the problem , not just implementing a solution.<br> Is a self-starter with strong initiative.<br> Remains calm under pressure .<br> Takes ownership of delivery and operational outcomes.<br> Has a pragmatic but engineering-focused approach to problem solving.<br> Is eager to learn and adapt to new technologies.<br> Has strong communication and articulation skills.<br> Can build professional and trusted relationships with technical and business stakeholders.<br></span> </div>

About Revolut<br><br>People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 80+ million customers get more from their money every day.<br><br>As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.<br><br>About The Role<br><br>Our Data Science team solves complex problems with smart, practical solutions. Data Analysts and Scientists ‌work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.<br><br>We’re looking for a talented Data Analyst to dig into our complex databases, look for root causes of a problem, design your own solutions, and write your own code to implement them. We aim for you to never stop learning, picking up new skills and delivering value along the way.<br><br>Up to shape what's next in finance? Let's get in touch.<br><br>What You’ll Be Doing<br><br>Understanding our business and its processes through our data Applying this understanding and knowledge of data to help product and service teams Designing key metrics to measure different aspects of the business Creating and maintaining new aggregated views and tables to simplify data querying Maintaining and creating new dashboards to track metrics and visualise insights Promoting data literacy across the company, organising and holding workshops<br><br>What You'll Need<br><br>Previous experience in an analytical role, creating impactful solutions A background/education in a quantitative discipline5+ years of experience with SQLGreat skills with Python or other programming languages Evidence of solid mathematical and statistics knowledge<br><br>Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.<br><br>Important notice for candidates:<br><br>Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.<br><br> Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.<br><br>We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.<br><br>By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>Talabat is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.</p><br><br>Job Description<br><p><strong>ROLE SUMMARY</strong></p><br><p>The Logistics Integrity team protects talabat's rider marketplace by detecting, preventing and reducing rider fraud and misconduct at scale across our eight markets in the Middle East. As a Sr. Specialist in the Integrity team, you will own end-to-end a portfolio of high-impact rider misconduct behaviors, plus the cross-cutting programs that keep the team's detection and enforcement engine running as one system. You will translate integrity risk into detection rules, enforcement actions and measurable reductions, working in close partnership with Product, Operations, Customer Experience and country leadership. Your work is a direct enabler of one of talabat's most important operational priorities: making our rider network faster, fairer and more reliable for the millions of customers we serve across the region.</p><br><p><strong>WHAT’S ON YOUR PLATE?</strong></p><br><ul><li><p>Own a portfolio of high-impact rider misconduct behaviors end-to-end: define how each is measured, baseline its prevalence across countries and rider cohorts, run root-cause analysis, and identify and prioritize the levers that will reduce it.</p><br></li><li><p>Design and tune the detection rules and enforcement thresholds behind talabat's integrity systems, and manage the country-by-country rollout of each change across the region.</p><br></li><li><p>Run the enforcement operating loop: periodic enforcement waves, tracking of the worst offenders, false-positive review, per-country performance tracking, and regular re-tuning based on what the data shows.</p><br></li><li><p>Document how detection and enforcement flow end-to-end for every actively-managed behavior, identify gaps, broken handoffs and redundancies, propose fixes.</p><br></li><li><p>Own the tooling and operational hygiene layer of the team: workflow automation, tracker maintenance, and the critical infrastructure that keeps the detection &amp; enforcement systems running.</p><br></li><li><p>Expand the team's active integrity coverage over time by surfacing and prioritizing new misconduct patterns from the broader risk behaviors, and building the business case to bring them into active management.</p><br></li><li><p>Contribute owned-behavior performance into talabat's regional integrity KPIs and the team's executive reporting cadence.</p><br></li><li><p>Maintain audit-ready documentation for owned behaviors (detection logic, thresholds, enforcement rules, decision trails, false-positive handling) to support internal governance and public-company compliance requirements.</p><br></li><li><p>Partner cross-functionally with Product, Operations, Customer Experience and country leadership on lever execution and country rollouts; participate in the team's weekly cadence and quarterly reviews.</p><br></li></ul><br>Qualifications<br><p><strong>WHAT DID WE ORDER?</strong></p><br><ul><li><p>4 to 6 years in Trust and Safety, Fraud and Risk, Marketplace Operations, or Logistics Operations Analytics; tech-enabled or multi-market environments preferred.</p><br></li><li><p>Bachelor's degree in engineering, business, economics or equivalent practical experience.</p><br></li><li><p>Track record in at least one of: behavioral fraud detection, rule-based design, gig-economy fleet operations, or large-scale anti-abuse programs.</p><br></li><li><p>Comfort owning a problem end-to-end: measurement, root-cause analysis, solution design, execution, and re-measurement of impact.</p><br></li><li><p>Strong SQL fluency (BigQuery a plus); comfortable building dashboards and writing lightweight Python for automation.</p><br></li><li><p>Analytical depth: ability to move from anomaly, to root cause, to lever, to business case, to measured impact.</p><br></li><li><p>Process-mapping mindset: comfortable dissecting operational workflows and naming where they break.</p><br></li><li><p>Strong stakeholder management across Product, Operations and country teams; comfortable operating across multiple markets with different operational baselines and rule sets.</p><br></li><li><p>Comfort with threshold tuning and the trade-off between catching abuse and unfairly flagging genuine users.</p><br></li><li><p>Ability to influence, empower and align people across a broad variety of job functions.</p><br></li><li><p>Extremely organized and process-driven, able to manage internal workload and expectations across a large set of stakeholders.</p><br></li><li><p>Strong commitment to enforcing standards, ethics and compliance.</p><br></li><li><p>Hands-on, enjoys fact-finding and going beyond theoretical frameworks.</p><br></li><li><p>Strong fluency with Gen AI tools like Claude and Claude Code.</p><br></li><li><p>Excellent written and verbal communication skills in English.</p><br></li><li><p>Team player who thrives on comradery.</p><br></li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> ' : - ( - ) Experience: 7+ yrs Location: Abu Dhabi, United Arab Emirates Job Type: Full-time We are seeking a Senior AI/ML Engineer to design, develop, and deploy production-grade AI and machine learning solutions for financial services use cases.<br> This is a hands-on role for an experienced professional with strong expertise in Python, Machine Learning, Generative AI, LLMs, RAG, Agentic AI, and Data Engineering .<br> The ideal candidate will be comfortable transforming complex business and financial requirements into scalable AI-powered applications.<br> You will work closely with finance, quantitative, technology, and business teams to develop practical solutions across areas such as risk, credit, compliance, treasury, markets, and financial reporting.<br> Key Responsibilities Design, develop, and deploy AI/ML and Generative AI solutions for financial services use cases.<br> Build LLM applications, RAG pipelines, AI agents, document intelligence solutions, and workflow automation tools .<br> Develop scalable Python-based APIs, model services, dashboards, and data pipelines.<br> Work with financial datasets, including transaction data, credit data, market data, financial statements, and unstructured documents.<br> Support AI solutions across risk management, credit, treasury, compliance, markets, corporate banking, and management reporting.<br> Prototype innovative AI solutions rapidly and transform successful prototypes into production-grade applications.<br> Design and implement solutions using technologies such as Python, pandas, NumPy, scikit-learn, PyTorch, TensorFlow, FastAPI, Flask, Streamlit, LangChain, LangGraph, LlamaIndex, vector databases, embeddings, and RAG .<br> Build and integrate cloud-native solutions using Azure, AWS, or GCP , along with Docker, Kubernetes, Git, and CI/CD practices.<br> Collaborate with finance and quantitative teams to translate complex methodologies into practical software solutions.<br> Implement appropriate testing, logging, monitoring, security, and basic MLOps practices.<br> Work with cross-functional teams to understand business requirements and deliver scalable solutions.<br> Mentor junior engineers, developers, and analysts on coding standards, modelling practices, testing, and deployment.<br> What Makes You a Great Fit 7+ years of experience in AI/ML Engineering, Data Science, Software Engineering, or Analytics Engineering .<br> Strong hands-on expertise in Python and modern machine learning frameworks.<br> Proven experience building and deploying real-world AI/ML applications rather than working exclusively with notebooks or prototypes.<br> Strong understanding of LLMs, Generative AI, RAG, agentic workflows, NLP, embeddings, vector databases, or document intelligence .<br> Experience developing APIs, data pipelines, dashboards, and production-grade model services.<br> Familiarity with SQL, structured databases, cloud platforms, containers, CI/CD, testing, and deployment practices.<br> Strong problem-solving and analytical skills with the ability to work through ambiguous business challenges.<br> Ability to communicate effectively with both technical teams and finance/business stakeholders.<br> Exposure to banking, fintech, payments, insurance, asset management, consulting, or capital markets is highly valuable.<br> Knowledge of financial use cases such as credit risk, fraud, KYC, treasury, trading, portfolio analytics, regulatory reporting, or financial document processing is an advantage.<br> A practical, delivery-focused mindset with the ability to build solutions quickly and continuously improve them for production use.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Implement and manage CI/CD pipelines to automate software delivery and ensure fast, reliable releases.</li><li>Collaborate with development teams to enhance system architecture for performance and scalability.</li><li>Monitor application and infrastructure performance, troubleshooting issues proactively to maintain uptime.</li><li>Manage container orchestration platforms like Kubernetes to streamline deployment processes.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor's degree in Computer Science, Engineering, or related field, providing a strong technical foundation.</p></li><li><p>5 years of relevant work experience in software development, systems administration, or similar roles.</p></li><li><p>Certifications such as AWS Certified DevOps Engineer or Docker Certified Associate to validate expertise.</p></li><li><p>Experience with scripting languages like Python, Bash, or Ruby to automate tasks efficiently.</p></li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><b>Senior Agentic AI Engineer (FDE) (5 Resources)</b><br></p><br><b>1+ year contracted​</b><br><br><p><b>Key Responsibilities</b><br></p><br><ul><li><span>Develop Agentic AI applications using Python<br></span></li><li><span>Build RAG pipelines and vector search solutions<br></span></li><li><span>Create and maintain agent workflows<br></span></li><li><span>Integrate LLMs with enterprise systems<br></span></li><li><span>Develop APIs and microservices<br></span></li><li><span>Implement prompt engineering and evaluation frameworks<br></span></li><li><span>Support testing, monitoring and optimization<br></span></li><li><span>Collaborate with architects and business teams<br></span></li></ul><p><b>Required Skills</b><br></p><br><ul><li><span>4 to 8+ years software engineering experience<br></span></li><li><span>Strong Python development<br></span></li><li><span>LangChain or LangGraph<br></span></li><li><span>Azure OpenAI / OpenAI APIs<br></span></li><li><span>RAG implementations<br></span></li><li><span>Vector databases<br></span></li><li><span>FastAPI or similar frameworks<br></span></li><li><span>REST APIs<br></span></li><li><span>Git and CI/CD<br></span></li><li><span>Docker<br></span></li></ul><br> </div>

Role: Machine Learning Analyst (Remote) Location: Remote Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a MLE Bench – Data Analyst to work on a part-time basis. This role involves hands-on analytical work with production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems. The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows.<br>Key Responsibilities:• Analyze structured and unstructured datasets generated from ML training, inference, and evaluation pipelines.• Define, compute, and validate metrics used to evaluate model performance and behavior.• Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks.• Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows.• Validate data quality, consistency, and correctness across datasets and experiments.<br>Required Skills & Qualifications:• Minimum 3+ years of experience as a data analyst or analytics-focused engineer.• Strong proficiency in Python for data analysis.• Solid experience with SQL and relational datasets.• Experience analyzing ML outputs and evaluation metrics.• Strong understanding of statistics and analytical reasoning.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to benchmark-driven evaluation projects focused on real-world machine learning systems. The position involves collaboration with ML engineers and researchers to design challenging evaluation scenarios.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Performance Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $70-$110 / hr<br>Role Overview:We are hiring for one of our clients, seeking a SWE (C++, Python, Rust) to contribute to the development of advanced large language models. The role involves hands-on technical work to elevate the quality of AI training and inference infrastructure through performance engineering.<br>Key Responsibilities:• Guide research and engineering teams to improve AI model performance in systems-level optimization, compiler engineering, and runtime performance.• Design challenging, domain-relevant tasks across multiple specializations and write accurate solutions to performance engineering problems.• Evaluate performance engineering tasks and solutions, providing clear, written technical feedback.• Develop guidelines and detailed evaluation frameworks to assess systems design quality across AI workloads.• Collaborate with subject matter experts to ensure consistency and accuracy in training data for frontier AI systems.<br>Required Skills & Qualifications:• 2+ years of professional experience in performance engineering, systems programming, or low-level optimization.• Deep hands-on expertise in at least one of C++, Python, or Rust with working familiarity across the others.• Demonstrated track record of measurable performance improvements on production systems (e.g., latency reduction, throughput gains, memory footprint optimization).• Experience writing and assessing performance-engineering tasks and solutions for AI model training and evaluation.• Ability to develop technical guidelines and rubrics for evaluating systems design quality in AI workloads.<br>More About the Opportunity:This role offers a unique opportunity to work with a leading AI lab, contributing to the development of cutting-edge generative AI systems. The position is a full-time W-2 engagement with no conflicts, providing stability while working on impactful technical challenges.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Software Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $70-$110 / hr<br>Role Overview:We are hiring for one of our clients, seeking a SWE (C++, Python, Rust) to contribute to the development of advanced large language models. The role involves hands-on technical work to elevate the quality of AI training and inference infrastructure through performance engineering.<br>Key Responsibilities:• Guide research and engineering teams to improve AI model performance in systems-level optimization, compiler engineering, and runtime performance.• Design challenging, domain-relevant tasks across multiple specializations and write accurate solutions to performance engineering problems.• Evaluate performance engineering tasks and solutions, providing clear, written technical feedback.• Develop guidelines and detailed evaluation frameworks to assess systems design quality across AI workloads.• Collaborate with subject matter experts to ensure consistency and accuracy in training data for frontier AI systems.<br>Required Skills & Qualifications:• 2+ years of professional experience in performance engineering, systems programming, or low-level optimization.• Deep hands-on expertise in at least one of C++, Python, or Rust with working familiarity across the others.• Demonstrated track record of measurable performance improvements on production systems (e.g., latency reduction, throughput gains, memory footprint optimization).• Experience writing and assessing performance-engineering tasks and solutions for AI model training and evaluation.• Ability to develop technical guidelines and rubrics for evaluating systems design quality in AI workloads.<br>More About the Opportunity:This role offers a unique opportunity to work with a leading AI lab, contributing to the development of cutting-edge generative AI systems. The position is a full-time W-2 engagement with no conflicts, providing stability while working on impactful technical challenges.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an experienced Senior Digital Forensics, Incident Response &amp; Threat Hunting Specialist to join our Cyber Security team. The ideal candidate will have strong expertise in digital forensics, incident response, threat hunting, and malware investigations across enterprise environments. The role requires hands-on experience with SIEM, EDR, cloud forensics, and forensic investigation tools to identify, investigate, contain, and remediate cyber threats.</p><br><p>Key Responsibilities</p><ul><li><p>Conduct host, network, memory, and mobile forensic investigations.</p></li><li><p>Lead incident response activities including triage, containment, eradication, recovery, and post-incident reporting.</p></li><li><p>Perform proactive threat hunting using threat intelligence and the MITRE ATT&amp;CK framework.</p></li><li><p>Analyze security events using SIEM platforms such as Microsoft Sentinel and Splunk.</p></li><li><p>Develop and execute advanced KQL queries for threat detection and investigations.</p></li><li><p>Investigate endpoint security alerts using EDR solutions.</p></li><li><p>Perform malware analysis, log analysis, and packet capture analysis.</p></li><li><p>Conduct cloud forensic investigations across AWS and Microsoft Azure environments.</p></li><li><p>Automate forensic and incident response activities using Python and PowerShell.</p></li><li><p>Produce detailed technical reports and executive summaries.</p></li><li><p>Collaborate with SOC, Threat Intelligence, IT, and Infrastructure teams during investigations.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ol><li><p>Minimum 6 years of experience in Digital Forensics, Incident Response, or Threat Hunting.</p></li><li><p>Strong knowledge of Digital Forensics and Incident Response methodologies.</p></li><li><p>Hands-on experience with EnCase, FTK, Cellebrite, Oxygen Forensics, Volatility, and other forensic analysis tools.</p></li><li><p>Experience with Microsoft Sentinel, Splunk, or similar SIEM platforms.</p></li><li><p>Strong knowledge of EDR technologies.</p></li><li><p>Advanced experience writing Kusto Query Language (KQL) queries.</p></li><li><p>Experience in host, network, cloud, memory, and mobile forensics.</p></li><li><p>Strong understanding of log analysis and packet capture analysis.</p></li><li><p>Experience with AWS and Microsoft Azure cloud investigations.</p></li><li><p>Scripting skills using Python and/or PowerShell.</p></li><li><p>Strong understanding of the MITRE ATT&amp;CK framework.</p></li><li><p>Excellent analytical, communication, documentation, and problem-solving skills.</p></li><li><p>Ability to manage multiple incidents simultaneously in a fast-paced environment.</p></li></ol><br><p>Preferred Certifications</p><ul><li><p>GCFA</p></li><li><p>GCFE</p></li><li><p>GCIH</p></li><li><p>GNFA</p></li><li><p>GCIA</p></li><li><p>CHFI</p></li><li><p>EnCE</p></li><li><p>Microsoft SC-200</p></li><li><p>Splunk Certified Power User/Admin</p></li><li><p>AWS or Azure Security Certifications</p></li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The Senior Business Intelligence Analyst will bring deep expertise in Power BI (or similar BI tools), advanced proficiency in SQL and Python, and a command of statistical analysis, along with the ability to translate complex healthcare data into strategic insights. This role requires someone who can work independently, mentor junior analysts, and partner closely with clinical, operational, and business leaders to drive data-informed decision-making.</p><br><br>Responsibilities:<br><ul><li><span>Leads the design, development, and maintenance of advanced dashboards and reports using Power BI (or Tableau/Looker/Qlik) to support clinical operations, quality, finance, and population health initiatives</span></li><li><span>Writes and optimizes complex SQL queries across large healthcare datasets (EHR/EMR, claims, clinical, operational data)</span></li><li><span>Analyzes healthcare-specific metrics such as patient outcomes, readmission rates, length of stay, utilization, cost-of-care, and quality measures (HEDIS, CMS Star Ratings, etc.)</span></li><li><span>Ensures compliance with healthcare data regulations (HIPAA, HITECH) and data governance best practices in all analyses and reporting</span></li><li><span>Partners with clinical, operations, finance, and executive leadership to define KPIs, identify data needs, and deliver actionable insights</span></li><li><span>Uses Python (Pandas, NumPy, SciPy, scikit-learn) for advanced data wrangling, automation, and predictive/statistical modeling</span></li><li><span>Applies advanced statistical techniques (hypothesis testing, regression, survival analysis, risk adjustment models, cohort analysis) to evaluate clinical outcomes, cost trends, and operational performance</span></li><li><span>Leads root-cause analysis on data quality issues, workflow inefficiencies, and performance gaps within clinical/operational processes</span></li><li><span>Mentors and provides technical guidance to junior/mid-level analysts on best practices in SQL, Python, and dashboard design</span></li><li><span>Drives automation of recurring reports and process improvements to enhance data pipeline efficiency</span></li><li><span>Collaborates with data engineering teams on data architecture, ETL pipelines, and data warehouse design as needed</span></li></ul><br>Qualifications:<br><ul><li><span>Bachelor's degree in data science, statistics, health informatics, computer science, or related field.</span></li><li><span>Advanced proficiency in Power BI or similar BI/visualization tools (Tableau, Looker, Qlik Sense), including DAX and data modeling&nbsp;</span></li><li><span>Expert-level SQL skills (complex joins, window functions, CTEs, query optimization, stored procedures)&nbsp;</span></li><li><span>Strong Python skills for data analysis and statistical modeling (Pandas, NumPy, SciPy, scikit-learn)&nbsp;</span></li><li><span>Advanced understanding of statistical methods (regression analysis, hypothesis testing, A/B testing, predictive modeling)&nbsp;</span></li><li><span>Familiarity with healthcare data standards and terminologies (ICD-10, CPT, HCPCS, HL7/FHIR) is highly desirable&nbsp;</span></li><li><span>Working knowledge of HIPAA and healthcare data privacy/compliance requirements&nbsp;</span></li><li><span>Proven ability to lead projects end-to-end and manage stakeholder relationships independently&nbsp;</span></li><li><span>Excellent communication and storytelling skills — able to translate technical/clinical data into insights for non-technical executives.</span></li><li><span>5+ years of experience as a Data Analyst, with significant experience in the healthcare industry (payer, provider, health system, or health-tech)&nbsp;</span></li><li><span>Experience with claims data, EHR/EMR systems (Epic, Cerner, etc.), or clinical data warehouses&nbsp;</span></li><li><span>Exposure to value-based care, population health management, or quality reporting programs (HEDIS, MIPS, Star Ratings)&nbsp;</span></li><li><span>Experience with cloud platforms (Azure, AWS, or GCP) and modern data warehousing (Fabric Snowflake, Redshift, BigQuery)&nbsp;</span></li><li><span>Familiarity with machine learning applications in healthcare (risk prediction, readmission models)&nbsp;</span></li><li><span>Experience with version control (Git) and Agile/Scrum methodologies&nbsp;</span></li><li><span>Prior experience mentoring or leading a small analytics team.</span></li></ul> </div>