Forward Deployed Software Engineer

Role OverviewJoin us at gsstech-group as a Senior Technology Engineer, where you will play a pivotal role in enhancing the stability, automation, and operational excellence of our Data Science Platform (DSP).This is a hands-on engineering position, not a support role. You will be responsible for driving automation, orchestration, and reliability across a robust hybrid cloud ecosystem (OpenShift + AWS/Azure/GCP).Your expertise will be essential in ensuring the seamless operation of DSP. You will tackle issues head-on—if something fails, scales inadequately, or necessitates manual intervention, it will be your responsibility to implement a permanent solution.

Job Title: Data Engineer (PySpark)________________________________________About the RoleWe are in search of a talented Data Engineer with significant expertise in PySpark and the Cloudera Data Platform (CDP) to bolster our data engineering team. In this role, you will be tasked with the design, development, and maintenance of scalable data pipelines that guarantee high data quality and availability across the organization. A robust background in big data ecosystems, cloud-native tools, and advanced data processing techniques is essential.The right candidate will possess hands-on experience in data ingestion, transformation, and optimization within the Cloudera Data Platform, along with a solid history of implementing data engineering best practices. Collaboration with fellow data engineers will be key to creating solutions that yield impactful business insights.ResponsibilitiesDesign, develop, and sustain highly scalable and optimized ETL pipelines utilizing PySpark on the Cloudera Data Platform, ensuring data integrity and precision.Oversee data ingestion processes from diverse sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP.Employ PySpark to process, cleanse, and transform extensive datasets into actionable formats that fulfill analytical needs and business objectives.Optimize performance by tuning PySpark code and Cloudera components to enhance resource utilization and minimize ETL runtimes.Establish data quality checks, monitoring, and validation protocols to uphold data accuracy and reliability throughout the pipeline.Automate data workflows utilizing tools such as Apache Oozie, Airflow, or comparable orchestration tools within the Cloudera ecosystem.Monitor pipeline performance, troubleshoot issues, and perform routine maintenance on the Cloudera Data Platform and related data processes.Collaborate closely with other data engineers, analysts, product managers, and other stakeholders to comprehend data requirements and support various data-driven initiatives.Document data engineering processes, code, and pipeline configurations thoroughly.

Join our innovative team at Whiteshield as a Senior Technology Engineer, where you'll spearhead the design, development, and optimization of expansive data platforms across Azure, Google Cloud, and hybrid environments.In this pivotal role, you will architect sophisticated data pipelines that drive AI-powered analytics, knowledge graphs, and autonomous automation within enterprise and national-level projects.The ideal candidate will possess extensive expertise in data architecture, orchestration, and cloud infrastructure, coupled with practical experience utilizing AI-assisted development tools to enhance delivery and ensure scalability, reliability, and intelligence across all layers of the data stack.Key Responsibilities:Design and lead the creation of comprehensive data pipelines utilizing technologies such as Apache Airflow, Azure Data Factory, and Google Cloud Composer.Develop and manage architectures for data lakes, data warehouses, and OLAP using MSSQL, SSIS, and SSAS.Construct and refine ETL/ELT frameworks to integrate structured, semi-structured, and unstructured data from various APIs, databases, and streaming platforms.Implement and oversee graph and NoSQL databases (e.g., Neo4j, Cosmos DB, MongoDB, Elasticsearch) to facilitate semantic analytics, search, and recommendation systems.Establish and uphold standards for data quality, lineage, governance, and observability.Collaborate with AI engineers, data scientists, and business analysts to enable retrieval-augmented generation (RAG), knowledge graph, and agentic orchestration applications.Lead multi-cloud infrastructure automation initiatives using Terraform, Pulumi, or Bicep alongside CI/CD pipelines.Promote AI-assisted coding methodologies (e.g., GitHub Copilot, ChatGPT, Cursor) to improve productivity, testing, and documentation.Mentor junior engineers, evaluate designs, and endorse best practices in data architecture, DevOps, and AI-native engineering.Contribute to strategic roadmap planning, focusing on capacity scaling, cost optimization, and data-driven innovation initiatives.

Join our innovative technology team as the Vice President of Data Platforms. We are looking for an accomplished leader to guide our AI and machine learning strategies from our Dubai office. In this pivotal role, you will oversee the development and implementation of cutting-edge data platforms that drive our organization forward in the digital landscape.Your Responsibilities:Formulate and execute a comprehensive AI/ML strategy aligned with our business goals.Manage the design, development, and upkeep of scalable data platforms and AI/ML infrastructure.Lead and nurture a talented team of data scientists, engineers, and analysts, encouraging a culture of creativity and excellence.Work collaboratively with cross-functional teams to identify and deploy AI/ML solutions that enhance business outcomes.Establish and uphold best practices for data governance, security, and compliance across all AI/ML projects.Keep informed of the latest trends in AI/ML and data technologies, providing strategic recommendations for adoption.Build and maintain relationships with key technology partners and vendors in the AI/ML industry.Communicate AI/ML strategies, progress, and outcomes to executive leadership and stakeholders.Facilitate the integration of AI/ML capabilities into current products and services.Optimize resource allocation and manage budgets for AI/ML initiatives.

We are looking for a talented and experienced Senior Data Engineer to join our dynamic Data Engineering team in Dubai. The successful candidate will play a pivotal role in designing, constructing, and enhancing scalable data pipelines, while also facilitating advanced analytics and machine learning applications. This position demands a deep understanding of big data technologies, data processing frameworks, and feature engineering to effectively support machine learning models in a live production setting.Key ResponsibilitiesCollect and assess business and technical requirements for effective data solutions.Conduct Exploratory Data Analysis (EDA) to reveal data patterns and assess data quality.Design, develop, and maintain high-performance, scalable data pipelines.Ingest both structured and unstructured data from various sources.Transform and process extensive datasets using PySpark and Python.Apply feature engineering techniques to enhance machine learning models.Optimize Spark jobs for peak performance and cost efficiency.Ensure the quality, integrity, and security of data across all pipelines.Collaborate closely with Data Scientists, Analytics Teams, and Delivery Leads.Participate in an Agile environment alongside cross-functional teams.Effectively communicate with stakeholders, providing valuable technical insights.Utilize Git for version control and manage CI/CD workflows.Required Skills & ExpertiseProven experience in Python and PySpark.In-depth knowledge of Apache Spark (performance tuning and optimization).Comprehensive understanding of the Hadoop ecosystem.Advanced skills in SQL.Experience in building end-to-end data and ML pipelines.Strong grasp of data modeling and warehousing concepts.Experience with feature engineering for ML applications.Familiarity with Git and version control systems.Exposure to cloud platforms (AWS/Azure/GCP) is advantageous.QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field.8–10+ years of experience in Data Engineering / Big Data.Experience in the banking or financial services sector is preferred.Soft SkillsExceptional problem-solving and analytical skills.Strong communication and stakeholder management abilities.Capability to work both independently and collaboratively within a team.Adaptability to fast-paced Agile workflows.

Join our innovative Technology Engineering team as a Senior DevOps Technology Engineer. We are searching for a talented individual with extensive experience in CI/CD practices to design, implement, and enhance our CI/CD pipelines, manage containerized environments, and promote DevOps best practices across the organization.Key ResponsibilitiesDesign and maintain robust, end-to-end CI/CD pipelines for enterprise applications.Optimize and manage container platforms leveraging OpenShift (Kubernetes-based PaaS).Automate the build, testing, and deployment processes utilizing Jenkins and GitHub.Implement and manage Service Mesh architectures (e.g., Istio).Integrate and oversee API Management platforms (preferably 3scale).Ensure code quality, security, and compliance through DevSecOps tools.Collaborate effectively with development, QA, and infrastructure teams to ensure seamless delivery.Monitor and enhance system performance, reliability, and scalability.Lead DevOps maturity initiatives and continuous improvement efforts.Required Skills & ExperienceProven hands-on experience in CI/CD pipeline development and automation.Expertise in:OpenShift / KubernetesJenkinsGitHub (GitOps practices preferred)Experience with Service Mesh (Istio or similar).Strong knowledge of API Management (3scale preferred).Familiarity with DevOps & DevSecOps tools such as:SonarQubeCheckmarxSysdigSCA (Software Composition Analysis tools)Cosign (Container Signing & Security)Solid understanding of containerization (Docker) and microservices architecture.Experience with cloud platforms (AWS/Azure/GCP) is advantageous.Preferred QualificationsExperience within the banking or financial services domain.Knowledge of Infrastructure as Code (Terraform/Ansible).Familiarity with monitoring tools (Prometheus, Grafana).DevOps/Cloud certifications will be considered a plus.Soft SkillsStrong problem-solving and analytical abilities.Exceptional communication and stakeholder management skills.Ability to thrive in a dynamic, fast-paced enterprise environment.

Join gsstech-group as a talented Data Engineer specializing in PySpark and the Cloudera Data Platform (CDP). In this pivotal role, you will be responsible for designing, developing, and maintaining high-quality data pipelines that are both scalable and efficient. Your contributions will ensure optimal data performance and availability across our organization.This position requires extensive hands-on experience in big data technologies, cloud-native environments, and advanced data processing frameworks. You will collaborate with diverse teams to create reliable data solutions that facilitate actionable business insights.Key Responsibilities1. Data Pipeline DevelopmentCraft and sustain scalable ETL/ELT data pipelines utilizing PySpark on CDP.Guarantee data integrity, reliability, and performance optimization.2. Data IngestionBuild ingestion frameworks to gather data from various sources including relational databases, APIs, streaming platforms, and file systems.Load both structured and unstructured data into Data Lake and Data Warehouse environments.3. Data Transformation & ProcessingProcess, cleanse, and transform extensive datasets using PySpark.Create reusable data processing components.4. Performance OptimizationOptimize Spark jobs and Cloudera components for peak performance.Enhance memory, partitioning, and execution strategies.Minimize ETL runtime and elevate cluster efficiency.5. Data Quality & ValidationEstablish data validation checks and monitoring systems.Maintain comprehensive data quality and governance standards.6. Automation & OrchestrationAutomate workflows using Apache Oozie, Apache Airflow, or similar orchestration tools.Support CI/CD integration for data pipelines.7. Monitoring & SupportOversee pipeline health and troubleshoot any issues that arise.Provide ongoing production support and drive continuous improvement initiatives.

Join Envision Employment Solutions as we seek a talented Senior Data Scientist for our esteemed partner, a global frontrunner in IT Services and Consulting.Position Overview:We are on the lookout for a highly knowledgeable Senior Data Scientist who will take charge of designing, constructing, and implementing cutting-edge machine learning and natural language processing (NLP) solutions, including applications based on large language models. The successful candidate will possess significant production experience, deep understanding of transformer architectures, and the capability to spearhead technical projects from inception through to deployment.Key Responsibilities:Machine Learning & NLP DevelopmentCraft and develop comprehensive machine learning models, with a strong emphasis on NLP applications.Fine-tune and deploy large language models, including GPT, BERT, and LLaMA, tailored for specific applications.Construct, train, and assess deep learning models utilizing frameworks like TensorFlow, PyTorch, or Keras.Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions.Enhance and optimize transformer-based models for tasks such as summarization, Q&A, and document intelligence.Assess and refine prompt engineering strategies for improved context efficiency.Data Engineering & PipelinesDevelop robust data pipelines utilizing tools such as Airflow, Spark, or Dataiku.Engage in data wrangling and preprocessing using libraries like pandas and NumPy.Design and oversee feature stores.Integrate and manage vector databases such as Pinecone, FAISS, or Chroma.Model Deployment & ProductionEstablish and maintain RESTful APIs for deploying ML models in production environments.Implement scalable AI services and manage continuous integration/continuous deployment (CI/CD) pipelines.Monitor model performance, including drift detection and lifecycle management.Conduct A/B testing, ensemble blending, and utilize explainability techniques such as SHAP and LIME.Statistical & Analytical ExpertiseUtilize advanced statistics, probability theory, and experimental design.Conduct hypothesis testing and data-driven analyses to inform business decisions.Collaboration & IntegrationCollaborate effectively with product and engineering teams to integrate AI solutions into production systems.Work alongside cross-functional stakeholders to deliver scalable AI capabilities.Requirements:Qualifications:Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or a related field.At least 4 years of experience in machine learning and data science roles.Demonstrated history of delivering production-grade ML and NLP projects.Experience in leading small data science teams or technical projects.

Join our team as a Senior Technology Innovation Engineer in Dubai, where you will leverage your expertise in AI to drive engineering excellence. In this pivotal role, you will not only oversee projects but also shape the future of AI-driven digital transformation at Cygnify. Your responsibilities will include establishing standards for prompt engineering, creating code generation workflows, automating quality assurance, documenting intelligently, and fostering continuous learning systems.As a seasoned engineer, you possess a diverse technical skill set with a strong focus on utilizing AI to enhance productivity and quality. You have a proven track record of building and launching products, integrating AI into delivery pipelines, and transitioning concepts to production under tight deadlines. Your experience includes orchestrating AI copilots, designing human-in-the-loop systems, and embedding automation throughout the software development life cycle (SDLC).In addition, your interpersonal skills enable you to effectively engage with clients, identify their needs, manage stakeholders, and translate business goals into actionable technical strategies enhanced by AI. You see AI as a practical tool for accelerating value delivery, improving quality, and unlocking new opportunities.You thrive in dynamic environments that value agility, experimentation, and proactive initiative, where AI serves as a critical multiplier for team performance.Key Responsibilities:Architect and develop scalable, innovative software solutions for internal and client use.Lead client engagements, serving as both a trusted advisor and technical owner.Rapidly prototype, iterate, and validate solutions using cutting-edge technologies.Balance immediate deliverables with a long-term vision for sustainable systems.Collaborate across cross-functional teams to align product objectives, timelines, and execution.Mentor junior engineers and contribute to fostering a culture of technical excellence.Assess new technologies for scalability and citizen impact.Integrate AI-native development workflows across the SDLC, utilizing AI copilots, automated test creation, and intelligent documentation to enhance output quality.Design and implement AI-assisted engineering practices, including prompt engineering standards, human-in-the-loop reviews, and ongoing model evaluations to ensure secure and scalable production readiness.

Join our dynamic team at dev2 as a Senior Java Engineer specializing in Big Data. In this role, you will leverage your expertise in Java and big data technologies to design, develop, and maintain scalable data solutions. You will collaborate with cross-functional teams to deliver high-quality products that meet our clients' needs.

Join our dynamic team at gsstech-group as a Senior Data Engineer. In this pivotal role, you will design, build, and enhance scalable data pipelines that empower advanced analytics and machine learning initiatives.Collaborating closely with Data Scientists, Analytics Delivery Leads, and interdisciplinary teams, you will transform raw data into impactful insights within a fast-paced Agile environment.Key ResponsibilitiesPartner with stakeholders to collect and evaluate data requirements.Conduct Exploratory Data Analysis (EDA) to discern data patterns and quality.Architect and implement robust, scalable, and high-performance data pipelines.Ingest, process, and convert extensive structured and unstructured datasets.Apply feature engineering techniques that bolster machine learning models.Enhance Spark jobs for optimal performance, scalability, and cost-effectiveness.Maintain data quality, integrity, and security across all pipelines.Work collaboratively with Data Scientists and Analytics teams to deploy ML pipelines.Engage in Agile ceremonies and contribute to ongoing improvements.Effectively communicate technical solutions to both technical and non-technical stakeholders.Required Skills & QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.8–10 years of experience in Data Engineering and Big Data ecosystems.Proficient programming skills in Python.Practical experience with PySpark / Apache Spark, including performance optimization.Strong knowledge of the Hadoop ecosystem.Advanced skills in SQL.Experience with data pipeline development and ETL frameworks.Familiarity with Machine Learning pipelines and feature engineering.Knowledge of version control systems (Git).Excellent problem-solving and analytical abilities.Good to HaveExperience with cloud platforms (AWS / Azure / GCP).Understanding of data warehousing solutions.Familiarity with workflow orchestration tools (e.g., Airflow).Experience in the banking or financial services sector.Key CompetenciesStrong collaboration and communication abilities.Capability to thrive in a fast-paced Agile setting.Detail-oriented with an ownership mindset.Proficient in stakeholder management and coordination.

Join Careem as a Senior Data Scientist II, specializing in supply chain analytics. In this role, you will leverage advanced data science techniques to drive decision-making and optimize operations across our supply chain network.Your responsibilities will include analyzing complex datasets, developing predictive models, and collaborating with cross-functional teams to implement data-driven solutions that enhance efficiency and reduce costs.

Join our innovative team at mexdigital as an AI Data Engineer. In this role, you will be instrumental in shaping our data-driven solutions, leveraging cutting-edge AI technologies to enhance business processes and deliver impactful insights. Collaborate with cross-functional teams to design, implement, and maintain scalable data pipelines and machine learning models that drive our projects forward.

Join our dynamic team at gsstech-group as a Senior Technology Engineer specializing in CI/CD and OpenShift. We are on the lookout for a talented individual to enhance operational excellence for our esteemed banking client by delivering innovative solutions. If you possess a solid foundation in DevOps tools and CI/CD pipelines, along with a knack for problem-solving, this role is tailored for you!Key Responsibilities: Architect, execute, and oversee CI/CD pipelines utilizing tools such as Jenkins, SonarQube, Nexus, Nexus IQ, and other DevOps technologies, emphasizing security measures including Image Signing, Image Scanning, and Checkmarx. Enhance and streamline GitHub Actions while applying GitOps principles for efficient application deployment. Deploy and manage applications with HelmCharts and ArgoCD, ensuring high availability and operational reliability. Create and maintain efficient Groovy scripts while overseeing comprehensive logging frameworks using ELK or Splunk stacks. Diagnose and resolve intricate challenges, offering innovative solutions to ensure system stability and performance. Collaborate with various teams for effective capacity planning, resource management, and vendor management, facilitating smooth operations. Foster and maintain robust business relationships with stakeholders to achieve project milestones. Requirements: Proven experience with Linux, Atlassian tools (Jira/Confluence), CI/CD processes, Pipeline as Code, Shared libraries, GitHub, SonarQube, Jenkins, and tools like Nexus and Nexus IQ, focusing on security (Image Signing, Image Scanning, Checkmarx). Extensive hands-on experience with GitHub Actions, GitOps principles, and their practical implementation. Strong proficiency in Groovy Scripting and associated logging technologies such as ELK or Splunk. Exceptional problem-solving skills. Extensive experience with HelmCharts and ArgoCD. Demonstrated expertise in troubleshooting and providing effective solutions. Experience in capacity planning, resource management, vendor management, and stakeholder management. Preferred Experience:Prior experience in the banking or financial services sector is highly advantageous, with a thorough understanding of compliance, security, and operational excellence within regulated environments.Why Join Us? Engage in transformative projects for a leading bank in UAE, leveraging cutting-edge DevOps technologies and methodologies. Become part of a collaborative and innovative team dedicated to excellence. Opportunity to advance your skills and career in a stimulating and rewarding environment.

Role Overview:The AI Platform Owner plays a pivotal role in spearheading the development, scaling, and management of the enterprise AI platform for RAK Bank. This position leads the technical aspects of AI implementation, ensuring the secure, scalable, cost-effective, and reusable deployment of Large Language Models (LLMs), AI tools, and agentic capabilities across diverse business and technology applications.As the primary accountable individual for the AI platform within both cloud and on-premise environments, this role must expertly balance agile innovation with operational stability, governance, and adherence to regulatory standards.Core Responsibilities:Establish a comprehensive AI platform that facilitates rapid, secure, and scalable adoption of AI across the bank.Drive multiple AI initiatives spanning business, operational, risk, compliance, and technological domains.Oversee AI operations, ensuring robust controls on costs, performance, and reliability.Continuously enhance the platform in alignment with swift advancements in LLMs and AI technologies.Key Duties:Ownership & Strategy: Develop the end-to-end roadmap and architecture for the AI platform, ensuring alignment with business and enterprise technology strategies. Evaluate options for AI tooling and models, including build, buy, or partner decisions.Technology Management: Manage the lifecycle of LLMs and SLMs, including model selection, evaluation, fine-tuning, and optimization strategies across multiple deployment environments.Platform Engineering: Lead the deployment and operational management of AI platforms in both public and private cloud settings, ensuring high availability, resilience, and compliance with data regulations.

Welcome to SFORS! As a prominent player in the global financial markets, we pride ourselves on being at the forefront of proprietary trading and pre-market strategies. With over 20 years of experience, our success is driven by a relentless commitment to talent development, cutting-edge trading technologies, sophisticated risk management models, and strategic trading methodologies, all aimed at ensuring our traders achieve remarkable success.We are seeking a talented Data Engineer to join our dynamic team in Dubai. In this role, you will be instrumental in designing, developing, and maintaining robust data pipelines and infrastructure that support our analytics and machine learning initiatives. Your expertise will guarantee the seamless flow of data across various systems, uphold data modeling best practices, ensure stringent data security measures, and empower our teams with high-quality, structured data.

Envision Employment Solutions is actively seeking talented Senior Data Management Engineers to join our esteemed partner, a prominent global leader in IT Services and Consulting.Job Overview:We are in search of a Senior Data Management Engineer who possesses extensive knowledge in data architecture, integration, and transformation, with a particular focus on leveraging Informatica tools. The successful candidate will be responsible for designing and implementing comprehensive enterprise data solutions that guarantee data accessibility, quality, governance, and scalability across various business domains.Your role will involve collaboration with cross-functional stakeholders to effectively translate business requirements into secure, reliable, and high-performance data systems.Key Responsibilities:Design, develop, and maintain robust ETL processes and data pipelines utilizing Informatica (PowerCenter, IDQ, or Cloud Data Integration).Optimize data integration workflows for both structured and unstructured data sources.Ensure the highest standards of data quality, integrity, governance, and security across enterprise platforms.Engage in data modeling and architectural discussions.Work closely with data architects, business analysts, and application teams to align data solutions with business objectives.Document data flows, transformations, and system architecture comprehensively.Identify and resolve performance bottlenecks and complex data-related challenges.Support initiatives related to enterprise data governance and metadata management.Qualifications:Bachelor’s degree in Computer Science, Information Systems, or a related field.3 to 5 years of professional experience in data engineering or management roles.Proficient hands-on experience with Informatica (PowerCenter, IDQ, or Cloud Data Integration).Strong SQL skills and familiarity with relational databases (e.g., Oracle, SQL Server).Solid understanding of data warehousing concepts and enterprise data architecture.Experience in data governance and metadata management.Knowledge of cloud data platforms (AWS, Azure, or GCP) is advantageous.Excellent analytical and troubleshooting abilities.Fluent communication skills in English.Benefits and Work Environment:Competitive basic salary.Social insurance coverage.Comprehensive family medical insurance (AXA).Location: Dubai.Work Model: Hybrid – 2 days in the office and 3 days remote. Depending on project requirements, you may be required to work from the client’s premises more frequently.Working Hours: 9 AM to 6 PM.Days Off: Saturday and Sunday.

Modeling Expertise:Proven experience in designing and implementing propensity models focused on cross-selling and upselling opportunities.In-depth knowledge of Next Best Action / Next Best Offer systems.Solid understanding of supervised learning methodologies, uplift modeling, and causal inference techniques.Programming & Engineering:Proficient in Python (required); knowledge of R or Scala is advantageous.Experience with distributed computing frameworks such as Spark, Dask, or Ray.Skilled in developing production-level ML pipelines using tools like Airflow, MLflow, or Kubeflow.Strong familiarity with software engineering best practices including version control, CI/CD, and thorough testing.Data Infrastructure:Experience with cloud platforms (AWS/GCP/Azure) and data warehouses (Snowflake, BigQuery, Redshift).Excellent SQL skills; adept at optimizing queries and handling large datasets.MLOps & Deployment:Proven ability to deploy models to production using APIs or streaming technologies (Kafka, Flink).Experienced in model versioning, experiment management, and deployment practices with MLflow, SageMaker, or Vertex AI.Monitoring & Observability:Capable of establishing model monitoring, drift detection, and alerting systems utilizing Prometheus, Grafana, Evidently, or custom dashboards.Familiarity with logging frameworks and performance profiling for ML services.GenAI (Preferred):Experience with Large Language Models, embeddings, prompt engineering, and vector databases (e.g., FAISS, Pinecone).Ability to incorporate GenAI into decision-making systems or customer-facing applications.Leadership & Collaboration:Proven leadership skills to guide senior data scientists while maintaining a hands-on approach.Adept at collaborating with product managers, engineers, and business stakeholders.

Join our dynamic banking technology team in Dubai as a Senior .NET Software Engineer. In this role, you will be instrumental in developing, enhancing, and supporting robust enterprise-grade applications that are critical to financial systems. Your expertise in performance, security, and scalability will be the cornerstone of our operations.Key ResponsibilitiesDesign and develop cutting-edge .NET-based applications for banking platforms.Enhance web applications utilizing C#.NET, ASP.NET MVC, and ASPX.Develop and integrate efficient REST and SOAP APIs.Oversee application hosting on IIS, including management of App Pools and HTTP modules/handlers.Craft optimized SQL Server queries, stored procedures, and data access layers.Collaborate with cross-functional teams in an Agile/Scrum environment.Engage in code reviews, debugging, and providing production support.Essential Skills & Experience (Required)A minimum of 5–7 years of professional experience in .NET development.In-depth understanding of the Banking or Financial Services sector.Proficient in C#.NET, ASP.NET MVC, .NET Framework.Strong grasp of OOP, Design Patterns, and the SOLID principles.Experience with LINQ and ADO.NET.Expertise in SQL Server querying and performance optimization.Hands-on experience with IIS hosting and deployment.Desirable Skills (Not Mandatory)SQL Server Reporting Services (SSRS)JavaScript / jQueryFamiliarity with .NET CoreExperience with Visual Studio / VS CodeBasic knowledge of Azure CloudExperience with Azure DevOps (CI/CD pipelines)Soft SkillsExceptional communication and stakeholder management skills.Strong analytical and problem-solving abilities.Ability to work independently as well as collaborate effectively in an Agile environment.