Forward Deployed AI Strategist

Technical Delivery Manager - Temenos Triple A+ (Private Banking) – VP2

Inside Sales Representative

Data Analyst

Senior Software Engineer AI

Software Engineer AI

Data & ML Architect

Product Line Sales Manager – Life Safety

Manager, Data Engineering

Sr. Software Engineer - Ag & Trading .Net

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

Responsibilities: <ul><li>Manage and oversees vendor development activities across Temenos WSC cutting across multiple technology stacks (EdgeConnect/UXP, TCIB/WUI, TAP Core, oData services, Oracle, Actuate, ITX integration components).</li><li>Establish and enforce development and engineering best practices, coding standards, peer review discipline, and reusable component frameworks to ensure compliance by vendor team</li><li>Provide technical leadership in resolving complex issues and ensuring optimal design decisions during the development phase</li><li>Ensure the development work is aligned with development methodology and framework as well as the deliverables adhere to Temenos WealthSuite architecture standards, API standards, security controls, regulatory/non‑functional requirements (NFRs), and bank-wide governance.</li><li>Drive design consistency across modules, channels, and integration layers.</li><li>Oversee end‑to‑end technical delivery across multiple releases/sprints, ensuring on-time, quality delivery.</li><li>Govern code quality, integration patterns, and performance adherence.</li><li>Lead resolution of development related technical issues (eg connectivity, code scanning, performance, SIT/functional defects).</li><li>Work with System Analysts to validate feasibility and ensure clarity of requirements</li><li>Support SIT/UAT/NFT phases including performance, security, resiliency, and regression testing.</li><li>Ensuring clarity of technical deliverables and adherence to FSD and solution baseline.</li><li>Coordinate with vendor delivery team to drive performance, code quality, and delivery commitments.</li><li>Coordinate and ensure development artefacts and deliverables will be integrated into Central DevOps practices, CI/CD pipelines, automated testing, and shift-left quality.</li></ul> Requirements: <ul><li>Strong hands-on experience with Temenos WealthSuite, including EdgeConnect UXP, TCIB, WUI, Triple A+ / TAP Core, OData, ITX Integration, and Actuate/Opentext reporting.</li><li>Solid proficiency in Unix/Linux shell scripting, Oracle SQL/PLSQL, and integration technologies.</li><li>Familiarity with DevOps, CI/CD pipelines, automated testing, and source control practices.</li><li>Minimum 10–12 years of hands-on development experience, with at least 5 years leading large technical teams (15–25 developers).</li><li>Proven track record delivering end-to-end Private Banking / Wealth Management solutions, including at least one major Temenos WealthSuite implementation or upgrade.</li><li>Experience managing mixed teams (internal, vendor) across cross-functional and multi-stream project environments.</li><li>Strong capability in application analysis, technical design, system integration, and code review within the Private Banking domain.</li><li>Ability to guide teams on development and engineering best practices, solution consistency, and quality assurance throughout SDLC.</li><li>Strong communication, stakeholder management, and influencing skills across senior business and technology teams.</li><li>Ability to work independently with a resilient, solution-driven mindset, especially in high-pressure situations.</li><li>Familiarity with Agile and Waterfall methodologies, software development frameworks, and structured delivery processes.</li></ul>

Responsibilities: <ul><li>Build and maintain strong relationships with HVAC-R OEM customers via remote channels (video, phone, email).</li><li>Manage a high-volume, diverse portfolio of regional accounts across DACH, ensuring consistent engagement and follow-up.</li><li>Conduct regular customer check-ins to understand needs and identify growth opportunities.</li><li>Drive upsell and cross-sell initiatives across the full product and solutions portfolio, clearly translating technical value into customer benefits.</li><li>Lead pricing discussions and contract negotiations within defined frameworks.</li><li>Own and maintain a healthy sales pipeline within CRM systems, ensuring accurate forecasting and documentation •	Act as the primary point of contact for assigned accounts, coordinating internally to deliver a seamless customer experience.</li><li>Identify and develop “hidden champions” within customer organizations to expand business potential.</li><li>Monitor HVAC-R market trends, competitor activity, and customer challenges to inform sales strategy.</li><li>Engage with agents and support indirect sales channels where relevant.</li><li>Proactively identify new opportunities within existing accounts and the wider market&nbsp;</li></ul> Requirements: <ul><li>1–3 years’ experience in sales, account management, or technical sales.</li><li>Proven ability to manage a broad portfolio with strong prioritization, time management, and follow-up discipline.</li><li>Experience working towards targets and sales quotas in a high-volume environment, with a results-driven mindset.</li><li>Strong communication skills, particularly in remote/digital customer engagement.</li><li>Customer-centric and solution-oriented approach, with the ability to build lasting relationships.</li><li>Experience using CRM tools and managing sales pipelines.&nbsp;</li><li>Technical curiosity and the ability to quickly understand and communicate product value.</li><li>Fluency in English and German&nbsp;</li></ul> Preferred Skills and Qualifications <ul><li>Experience within HVAC-R or a related technical industry.</li><li>Understanding of mechanical and/or electronic components.</li><li>Exposure to OEM customer environments.</li><li>Additional Eastern European language skills (French is highly desirable for the France-focused role).</li><li>Demonstrated proactive “hunter” mindset, with the ability to identify and pursue new opportunities.</li><li>Adaptability and flexibility in a fast-evolving, international sales environment.</li><li>Build and maintain strong relationships with HVAC-R OEM customers via remote channels (video, phone, email).</li><li>Manage a high-volume, diverse portfolio of regional accounts across DACH, ensuring consistent engagement and follow-up.</li><li>Conduct regular customer check-ins to understand needs and identify growth opportunities.</li><li>Drive upsell and cross-sell initiatives across the full product and solutions portfolio, clearly translating technical value into customer benefits.</li><li>Lead pricing discussions and contract negotiations within defined frameworks.</li><li>Own and maintain a healthy sales pipeline within CRM systems, ensuring accurate forecasting and documentation</li></ul>

Responsibilities: Database Maintenance &amp; Support <ul><li>Assist in the maintenance of relational databases (Oracle, SQL Server).</li><li>Support schema creation, updates, normalization, and performance tuning.</li><li>Monitor data quality, identify inconsistencies, and help ensure data integrity across systems.</li></ul> Data Migration &amp; Platform Transition <ul><li>Support data extraction, transformation, and loading (ETL) during system migrations and platform upgrades.</li><li>Assist in transitioning data between legacy environments and modern systems, including Databricks.</li><li>Validate migrated data and document reconciliation results. Data Analysis &amp; Querying</li><li>Write and execute SQL queries for analysis, verification, and operational needs in Oracle and SQL Server environments.</li><li>Participate in exploratory and diagnostic analysis to uncover trends and support business decisions.</li></ul> Documentation &amp; Governance <ul><li>Maintain accurate documentation of data processes, transformations, and system behaviors.</li><li>Support compliance with organizational standards for data governance and metadata management.</li></ul> Requirements: Required Skills &amp; Qualifications <ul><li>Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Engineering, or related field.</li><li>Foundational understanding of relational database concepts and SQL.</li><li>Introductory experience or coursework using Oracle, SQL Server, or similar RDBMS platforms.</li><li>Strong analytical thinking, attention to detail, and problem solving skills.</li><li>Ability to collaborate with technical teams in a fast paced environment.</li></ul> Preferred Skills &amp; Qualifications <ul><li>Exposure to Databricks or other big data / cloud analytics technologies.</li><li>Understanding of ETL concepts, data pipelines, or data transformation frameworks.</li><li>Familiarity with PL/SQL, SSIS, or other database programming tools.</li><li>Interest in learning modern data lake, delta, or virtualization technologies (e.g., Denodo).</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Typically reflects 4 years or more with 3+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 2 years of building production software or data platforms.&nbsp;</li><li>Typically reflects 3 years or more with 2+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

Responsibilities: Strategic Leadership: <ul><li>Set the vision and direction for data and AI architecture for project and client.</li><li>Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture.</li><li>Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.</li></ul> Architectural Excellence: <ul><li>Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance.</li><li>Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms.</li><li>Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.</li></ul> AI &amp; ML Leadership: <ul><li>Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems.</li><li>Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models.</li><li>Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products.</li><li>Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.</li></ul> Technical Leadership: <ul><li>Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards.</li><li>Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform.</li><li>Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).</li></ul> Stakeholder Engagement: <ul><li>Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps.</li><li>Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.</li></ul> Innovation &amp; Emerging Technologies: <ul><li>Apply modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.</li></ul> Requirements: <ul><li>Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles.</li><li>Experience in both Agile and Waterfall project environments.</li><li>Strong stakeholder management and communication skills.</li><li>Security and compliance awareness.</li><li>Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer).</li><li>Experience mentoring or managing technical teams.</li></ul>

About the Role: <ul><li>We are looking for a seasoned Product Line Sales Manager to drive profitable growth of our Life Safety portfolio across the Benelux and Nordic regions.</li><li>This is a strategic commercial leadership role where you will work cross-functionally with country sales teams, product leaders, and operational stakeholders to accelerate market penetration and business growth. </li></ul> Responsibilities: <ul><li>Own and deliver sales growth and profitability targets for Life Safety product lines</li><li>Develop and execute regional go-to-market and business growth strategies</li><li>Enable country sales teams to expand customer base and increase portfolio penetration</li><li>Drive opportunities in Fire Alarm &amp; Emergency Lighting solutions</li><li>Identify and build new business pipelines and strategic accounts</li><li>Collaborate with internal teams to ensure aligned execution across regions</li><li>Support pricing strategies and commercial excellence initiatives</li><li>Promote use of CRM tools (e.g., Salesforce) for pipeline and data-driven decisions</li><li>Lead engagement through sales reviews, events, and partner collaborations</li><li>Travel within the region (approx. quarterly or as required) </li></ul> Requirements: Qualifications &amp; Experience <ul><li>Bachelor’s degree (Engineering preferred) or equivalent experience</li><li>5+ years of experience in Life Safety or related industry</li><li>Strong exposure to matrix organizations and cross-country operations</li><li>Experience working with distributors, system integrators, and large accounts Key Skills</li><li>Strong commercial acumen and strategic thinking</li><li>Proven ability to influence without direct authority</li><li>Deep understanding of Life Safety solutions and market dynamics</li><li>Excellent stakeholder management and collaboration skills</li><li>Strong analytical and problem-solving mindset</li><li>Effective communication and presentation skills</li><li>Ability to drive performance through teams</li></ul>

Responsibilities: <ul><li>DATA &amp; ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li><li>DATA PIPELINES: Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li><li>DATA SYSTEMS: Reviews existing data systems and architectures to lead identification of areas for improvement and optimization.</li><li>DATA INFRASTRUCTURE: Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data.</li><li>DATA FORMATS: Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization.</li><li>STAKEHOLDER MANAGEMENT: Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li><li>DATA FRAMEWORKS: Builds complex prototypes to test new concepts and provides guidance to implement data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li><li>AUTOMATED DEPLOYMENT PIPELINES: Oversees the development of automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li><li>DATA MODELING: Guides the team to perform data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li><li>TEAM MANAGEMENT: Manages team members to achieve the organizations goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.</li></ul> Requirements: <ul><li>Some experience in React, including hooks, context API, and state management libraries (Redux, Zustand)</li><li>Solid experience with JavaScript (ES6+), TypeScript, HTML5, CSS3.</li><li>Strong experience with C# and .NET Framework/.NET Core.</li><li>Solid understanding of object-oriented programming.</li><li>Experience with unit testing and mocking frameworks (e.g., xUnit, NUnit, Moq).</li><li>Familiarity with design patterns (e.g., Repository, Factory, Strategy).</li><li>Experience with SQL DBs, MySQL, Postgres, or MS SQL: writing queries, stored procedures, and performancetuning.</li><li>Knowledge of RESTful APIs and message-based systems.</li><li>Experience with relational databases and data access libraries (e.g., Entity Framework, Dapper).</li><li>Knowledge of ReactJS</li><li>Proficient in Git: branching, merging, pull requests, and version control workflows.</li></ul>

Responsibilities: <ul><li>Demonstrate accountability by ensuring timely and high-quality project delivery.</li><li>Be result driven, consistently achieving measurable outcomes and meeting goals.</li><li>Act as a team player, collaborating effectively with cross-functional teams.</li><li>Exhibit a can-do mentality, tackling challenges with a proactive and positive approach.</li><li>Apply software engineering patterns and principles to design, develop, test, integrate, maintain, troubleshoot and document complex and varied software solutions and incorporate security practices in newly developed and maintained applications.</li><li>Participate in peer code review sessions to review code, coach peers and ensure code quality.</li><li>Take the lead in the assigned agile team to adopt agile philosophies, facilitate agile ceremonies and identify continuous improvement opportunities.</li><li>Incorporate the companys engineering and development best practices within the full software development lifecycle including coding standards, code reviews, source control management, building processes, testing and security principles, to deliver high quality code rapidly.</li><li>Collaborate to lead demonstration and continuous feedback sessions to improve development and help drive the long term vision.</li><li>Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills.</li><li>Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.</li><li>Other duties as assigned</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field or equivalent experience</li><li>Confirmed experience automating pipelines for continuous integration, testing, delivery and security.</li><li>Confirmed experience architecting applications, databases, services or integrations.</li><li>Extensive experience with .NET Framework and .NET Core.</li><li>Familiarity with front-end technologies like HTML, CSS, JavaScript, and frameworks such as Angular, React, or Vue.js.</li><li>Experience with DevOps practices and tools such as Docker and CI/CD pipelines.</li><li>Knowledge of SQL Server and / or PostgreSQL for database design and management.</li><li>Hands-on experience with Kubernetes for container orchestration and management.</li><li>Experience with cloud platforms such as Azure, AWS, or GCP.</li><li>Minimum of 5 years of related work experience in software development using .NET technologies.</li></ul>

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36 etl pipelines Jobs found

Forward Deployed AI Strategist

Technical Delivery Manager - Temenos Triple A+ (Private Banking) – VP2

Inside Sales Representative

Data Analyst

Senior Software Engineer AI

Software Engineer AI

Data & ML Architect

Product Line Sales Manager – Life Safety

Manager, Data Engineering

Sr. Software Engineer - Ag & Trading .Net

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36 etl pipelines Jobs found

Forward Deployed AI Strategist

Technical Delivery Manager - Temenos Triple A+ (Private Banking) – VP2

Inside Sales Representative

Data Analyst

Senior Software Engineer AI

Software Engineer AI

Data & ML Architect

Product Line Sales Manager – Life Safety

Manager, Data Engineering

Sr. Software Engineer - Ag & Trading .Net

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