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

Senior Production Support Engineer – IDM Engineering (VP2)

Data Analyst

Software Engineer AI

AVP, Digital Analytics

SAP Basis Engineer

Manager, Data Engineering

Sr. Software Engineer - Ag & Trading .Net

Senior Data Scientist - Machine Learning

AVP – Model Ops Engineer

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><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>Engage in day-to-day support activities including incident and problem management</li><li>Perform production deployments, patch activities on the supported applications and servers.</li><li>Work with product support/development team for permanent resolution/change review – all types including enhancements, bug fixes, etc.</li><li>Work with level 1 support in application knowledge transfer in establishing standard first level recovery process/system health check monitoring/scheduled activities as well as common application user queries.</li><li>Collaborate with internal stakeholders like application, business, infrastructure, security, and operations to continuously improve the stability of applications.</li><li>Develop support operational documents to summarize common support issues.</li><li>Develop reports and drive audit RFI’s and requirements.</li><li>Develop Linux scripts based on the requirements.</li><li>Provide after office hours’ standby support and for emergency recoveries, including managing major incident of critical services.</li><li>Expected to drive improvements through influence and strong relationships with managers in other teams.</li><li>Correlate events across multiple systems to proactively surface and resolve deep, underlying issues.</li></ul> Requirements: <ul><li>Diploma/Degree in engineering/Computer Science / IT/Cyber Security from a recognized education institution</li><li>Professional qualification in information security, such as CISSP / CISM / CEH, or data Security product certifications will be advantageous.</li><li>9 to 12 years relevant experience</li><li>Strong working knowledge on Oracle Identity Governance 12c, Oracle Database, WebLogic, BI Publisher, Oracle Connectors, Linux, Unix &amp; Windows Enterprise Server OS, with mixed skills around administration, performance tuning and troubleshooting</li><li>Working knowledge of Python, java, Java Scripts,</li><li>Knowledge in network infrastructure like Load balancers, Firewalls, SSL etc</li><li>Working Knowledge on Directory - LDAP and AD Databases</li><li>Strong knowledge of Oracle SQL and proficient in writing complex SQL queries with hands on experience with reporting tools along with excellent computational ability.</li><li>Strong understanding of cybersecurity principles and frameworks including ISO 27001 &amp; NIST Cybersecurity Framework;</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 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: <ul><li>Lead and deliver Digital Measurement Analytics for Digital Platforms in Agile methodology to drive digital data strategy that includes collection &amp; validation of data and reporting.</li><li>Partner with onsite Stakeholders and various process owners in marketing, technology and digital teams to plan and implement strategic priorities.</li><li>Present analytical results and actionable recommendations to key stakeholders on a recurring cadence, and propose innovative analytics solutions to drive business growth and enhance the customer experience.</li><li>Responsible for team’s effective communication, project deliverables, coaching team on adhering to expected timelines, accuracy &amp; compliance with meticulous project management.</li><li>Lead internal initiatives, perform other duties and/or special projects, as assigned.</li></ul> Requirements: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant Analytics experience.</li><li>Minimum 6+ years of relevant work experience in lieu of specified degree.</li><li>2+ years of experience in Digital or Web Analytics Domain utilizing tools such as Adobe or Google Analytics and 2+ years of experience in SAS or SQL.</li><li>1+ years of Experience in Managing People, Coordinating work, Supervising, Evaluating performance and ensuring employees are trained.</li><li>Minimum 1+ years of experience in Data visualizations tools such as Tableau to drive insights.</li><li>Excellent oral and written communication skills with ability to collaborate, articulate and present solutions cutting across functional/agile teams in a simple yet compelling manner</li></ul>

Responsibilities: <ul><li>Designs, builds, and supports SAP platform solutions by applying sound engineering practices to ensure system stability, performance, and scalability.</li><li>Utilizes enterprise tools and methodologies to automate system deployments, transport, and administrative activities, enabling reliable and repeatable releases.</li><li>Collaborate with cross‑functional partners to translate moderately complex business and technical requirements into effective SAP Basis solutions.</li><li>Performs system validation, technical testing, monitoring, and troubleshooting to maintain the quality and availability of SAP systems.</li><li>Contributes to continuous improvement initiatives by identifying opportunities to enhance SAP Basis processes, automation, and operational efficiency.</li><li>Creates and maintains clear technical documentation for SAP landscapes, configurations, and operational procedures.</li><li>Provides technical support for moderately complex SAP Basis issues, ensuring timely resolution and minimal impact to business operations.</li><li>Drives automation and quality through the use of enterprise testing and deployment tools, including Tosca for test automation and qTest for test management, execution, and traceability.</li><li>Develops, executes, and maintains manual and automated test assets for SAP systems, ensuring end‑to‑end coverage across SIT, UAT, regression, and integration testing cycles.</li><li>Performs system validation, monitoring, defect analysis, and troubleshooting in partnership with development, security, and infrastructure teams to ensure reliability and performance.</li></ul> Requirements: <ul><li>Minimum requirement of 5 years of relevant work experience with SAP Basis.&nbsp;</li><li>Demonstrated expertise in SAP Basis engineering, with strong knowledge of SAP system architecture, technical landscape design, system administration, upgrades, transport, performance monitoring, and operational support across multiple SAP environments.</li><li>Experience managing and supporting SAP technical operations, including system availability, batch processing, interfaces, background jobs, monitoring, troubleshooting, and incident resolution in alignment with enterprise service expectations.</li><li>Proven ability to support SAP Fiori and UI technical components from a Basis perspective, including configuration, activation, performance support, and coordination with security and application teams.</li><li>Experience leveraging scripting and technical tools (such as SQL and automation utilities) to improve operational efficiency, support system analysis, and standardize SAP Basis activities.</li><li>Working knowledge of cloud‑hosted and hybrid SAP landscapes, including experience supporting SAP systems on platforms such as Microsoft Azure, AWS, or Google Cloud, with an understanding of infrastructure, connectivity, and platform operations.</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>

Responsibilities: <ul><li>Lead the design, development, and deployment of machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems</li><li>Network across manufacturing, R&amp;D, commercial, and business functions to identify and collaboratively execute on high-impact challenges solvable through machine learning techniques</li><li>Build production-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring</li><li>Develop and maintain scalable, modular, well-documented code following MLOps best practices including version control, logging/metadata standards, and CI/CD principles</li><li>Lead code reviews, architectural discussions, and knowledge sharing to maintain high quality, production-ready deliverables across the team</li><li>Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value</li><li>Communicate complex machine learning methodology, results, and business impact clearly to technical and non-technical audiences through presentations, documentation, and visualizations</li><li>Stay current with advancements in machine learning, and apply them to solve business challenges</li><li>Mentor and provide technical guidance to data scientists, helping to grow the teams capabilities in Hyderabad</li><li>Support ML governance processes including architecture and methodology reviews, risk assessments, and compliance with enterprise standards</li><li>Lead project planning and execution, managing timelines, resources, and stakeholder expectations</li></ul> Requirements: <ul><li>Masters or Ph.D. in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a domain-focused field (Engineering, Chemistry, Economics, Finance, etc.)</li><li>5-8+ years of experience in data science, machine learning, or a related field with demonstrated impact</li><li>Strong foundation in statistical and machine learning theory with proven ability to select, apply, and evaluate appropriate techniques for complex, real-world problems</li><li>Extensive hands-on experience building predictive models and deploying them to production environments using Python</li><li>Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy)</li><li>Experience with solution architecting and design for ML systems</li><li>Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions</li><li>Experience with version control (Git), collaborative development, and code review processes</li><li>&nbsp;Strong written and oral communication skills with ability to present technical concepts and results to diverse audiences from technical teams to business leadership</li><li>History of project leadership and driving initiatives from conception to production</li><li>Strong problem-solving skills and the ability to work independently as well as lead and mentor team members&nbsp;</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain robust pipelines to collect, transform, and store data used in model monitoring workflows (e.g., scoring data, performance metrics, outcomes).</li><li>Build scalable data architectures to support real-time and batch monitoring, including data ingestion, enrichment, and retention practices.</li><li>Develop reusable monitoring components (e.g., performance drift detectors, threshold-based alerts, metric repositories) that support various model types and regulatory needs.</li><li>Integrate data pipelines with model lifecycle platforms, MLOps tools, and observability solutions to ensure seamless model performance tracking.</li><li>Partner with model risk and compliance teams to ensure data lineage, audit trails, and documentation are preserved and accessible for regulatory reviews (e.g., SR 11-7 compliance).</li><li>Collaborate with data scientists, model validators, and product managers to align monitoring data infrastructure with evolving model monitoring requirements.</li><li>Work closely with the model monitoring analytics and strategy monitoring analytics teams within MO&amp;A to ensure the monitoring data infrastructure adapts to changing analytics and monitoring needs. Enable visualization and reporting capabilities through dashboards (e.g., Power BI, Tableau) that summarize model health, stability, and issue alerts.</li><li>Designing and maintaining high-performance data pipelines that ingest, transform, and version datasets for Model and Strategy Monitoring</li><li>Optimize data storage and compute performance for large-scale monitoring use cases involving high-frequency scoring or model ensembles.</li></ul> Requirements: <ul><li>Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 5+ years’ experience or in lieu of degree, and 7+ years of relevant work experience in, data engineering or related roles in the financial services or regulated analytics domain.</li><li>Strong proficiency with data engineering tools and frameworks (e.g., Apache Spark, Airflow, Kafka, dbt, PySpark).</li><li>Proficient in programming languages such as SAS, Python, and SQL for building monitoring pipelines and validation checks.</li><li>Experience with cloud-based data infrastructure (e.g., AWS, Azure, GCP) and data warehousing (e.g., Snowflake, Redshift, BigQuery).</li><li>Familiarity with MLOps practices, model metadata tracking (e.g., MLflow), and monitoring toolkits (e.g., Evidently AI, Why Labs, Prometheus).</li><li>Understanding of model risk governance requirements and the role of data engineering in ensuring compliant model monitoring.</li><li>Ability to work in an agile environment and deliver high-quality, production-grade code in collaboration with DevOps and platform engineering teams.</li></ul>

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32 sql server Jobs found

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

Senior Production Support Engineer – IDM Engineering (VP2)

Data Analyst

Software Engineer AI

AVP, Digital Analytics

SAP Basis Engineer

Manager, Data Engineering

Sr. Software Engineer - Ag & Trading .Net

Senior Data Scientist - Machine Learning

AVP – Model Ops Engineer

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

Senior Production Support Engineer – IDM Engineering (VP2)

Data Analyst

Software Engineer AI

AVP, Digital Analytics

SAP Basis Engineer

Manager, Data Engineering

Sr. Software Engineer - Ag & Trading .Net

Senior Data Scientist - Machine Learning

AVP – Model Ops Engineer

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