Job description Associate Director- Fullstack What are we looking at At least a bachelors / master`s degree with 14+ years of experience Should have experience in data management, programming, systems analysis, and technology architectures Front-end Framework Angular 6 and higher / Bootstrap; Back-end Framework - ASP.NET Core, JSON, XML, HTML5, JavaScript, AJAX, SQL Server, SOAP/REST APIs Strong Understanding of RDBMS & NOSQL DB design and Optimization Good knowledge of AKS based Microservices on Microsoft Azure Cloud Experience on APIM, Caching, Database Design, Database Optimization, Data Engineering will be added advantage Fundamental / Academic understanding of Python, AI/ML algorithmic and Generative AI technology Experience in agile framework like Scrum, Kanban and Scaled Agile. Experience in conducting daily standup, planning, monitoring and control. Risks/issues planning, identification and resolution. Delivering on time with quality and within budget. Experience in governance and status reviews of projects. Escalation on time with the right forum. Strong Soft skills (Oral & Written) Role: MD / CEO Industry Type: IT Services & Consulting Department: Strategic & Top Management Employment Type: Full Time, Permanent Role Category: Top Management Education PG: Any Postgraduate, M.Tech in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills Gen AIAngular 6AzureDotnet CoreMicroservices Machine learninScrum

Job description Candidate will be working on overall system areas component development with key domains like (Operating System, Kernel, Compiler, Toolchain, Emulator, Memory, open source) Skills Required: • Embedded platform development (Linux based distributions) & maintenance • Linux build system expertise, packaging (RPM specification), build automation tools • System Software (File system, Memory Management, Thread programming, Process Management, Platform Driver development/Integration, IPC, logging) • Understanding about Compiler, toolchain development • Different CPU Scheduling concept (SMP, HMP, FIFO, RT) • System Level IPC expertise (User space, applications, middleware, kernel), logging framework • System Level+B9 policies (memory, scheduler, CPU, hotplug) • Platform porting & Reference Platform development on multiple chip-set • Defect root-cause analysis & debugging utils (A9:G9gdb, objdump, Backtrace/Coredump analysis etc.) • Performance/resource benchmarking & optimization (system boot-up/application launching/memory utilization etc.) - System Level Profiling, Tracing • Full Software stack verification & Release management • Platform Certification & Compliance Understanding Preferred Skills: • Programming language - C, C++, Scripting (Bash, python) • Development environment - Linux • Development, tracking code management - JIRA, GIT, Swarm, Gerrit, Perforce • Good understanding of OS, multi-threading, IPC & Cross-compilation Concepts Role: Software Development - Other Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills C++LinuxOpenglGPUIPC GraphicsDirectXOpengl EsSTLOpenclVulkanGlsl

Job description Job Location: Pan India Experience: 4 - 8 yrs Job Type: FTE Shift Timing: 2 PM IST till 11 PM IST Note: Looking only for Immediate to 1 week joiners. Must be comfortable for Video discussion. read more Key Skills Skills highlighted with ‘‘ are preferred keyskills Full Stack Python Developer CSSJavascriptHTMLReact.JsAngular

Job description Job Summary:Synechron is seeking a skilled Python Full Stack Developer to design, develop, and maintain robust web and mobile applications aligned with business needs. This role involves working closely with cross-functional teams to deliver scalable solutions, adhering to best practices in SDLC and Agile methodologies. The ideal candidate will stay abreast of emerging technologies, contribute to architectural best practices, and ensure high-quality deliverables that enhance user experience and organizational efficiency. Software Requirements: Required: Proficiency in Python for backend development, including frameworks such as Django, Flask, or FastAPI Strong frontend skills using JavaScript frameworks/libraries such as React, Angular, or Vue.js Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) Familiarity with version control tools like Git, and project management tools such as JIRA, Trello, or Confluence Preferred: Experience with mobile app development or cross-platform frameworks (e.g., React Native, Flutter) Knowledge of blockchain and IoT technologies is a plus Overall Responsibilities: Collaborate with product managers and cross-functional teams to translate business requirements into technical solutions. Develop detailed technical specifications, documentation, and scalable code for new features and enhancements. Participate in architecture discussions, implement best coding practices, and conduct regular code reviews to maintain code quality. Stay updated on newly emerging technologies and recommend their integration to improve system performance and security. Troubleshoot and resolve technical issues during development and post-deployment, providing technical guidance to team members. Work with testing teams to ensure comprehensive testing, performance, and security of the software solutions. Technical Skills (By Category): Programming Languages: Essential: Python, JavaScript Preferred: Node.js, TypeScript Databases/Data Management: Strong experience with relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, DynamoDB) Cloud Technologies: Hands-on experience deploying and managing applications on AWS, Azure, or GCP Frameworks and Libraries: BackendDjango, Flask, FastAPI FrontendReact, Angular, Vue.js Development Tools and Methodologies: Agile, Scrum, CI/CD pipelines, Git for version control, JIRA for task management Security Protocols: Knowledge of secure coding, authentication, and API security best practices Experience Requirements: Minimum of 5 years of experience in full-stack software development with a focus on Python-based solutions Proven experience developing scalable web and mobile applications using modern frameworks and architectures Demonstrated ability to work in Agile environments and participate in code reviews and team collaborations Prior experience working with cross-functional teams managing project timelines and deliverables Day-to-Day Activities: Participate in daily stand-ups, sprint planning, and design review meetings. Collaborate with teams to understand technical requirements and design appropriate solutions. Write, test, review, and deploy scalable and efficient code. Conduct code reviews, identify improvements, and mentor junior developers. Monitor application performance and troubleshoot issues during development and production. Research and recommend new technologies or best practices to improve current solutions. Document technical designs and processes for future reference and team onboarding. Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. Relevant certifications in Python, Cloud, or Full Stack development (e.g., AWS Certified Developer, Certified Scrum Developer) preferred. Committed to continuous learning through training courses, workshops, and industry updates. Professional Competencies: Strong analytical and problem-solving skills. Excellent communication and interpersonal abilitie

Job description Responsibilities Work with different teams to understand the requirements and build a solution for speed and scale Design and development of the cloud backend Develop and maintain frontend web applications for our customers Work on maintaining the cloud infrastructure. Requirements Must be curious and ready to learn new things. Must have attention to detail and pride in the quality of one's work. Good logical reasoning and communication skills. Desire to work as part of a small, fast-paced, and highly-flexible team. Must be comfortable using Git. Must be able to code in Python Must be comfortable working with frontend technologies like HTML, CSS, Javascript, Webpack. Good to have Knowledge of Java Knowledge of AWS, GCP or Azure Role: Full Stack Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Computers, BCA in Computers, B.Sc in Computers PG: M.Tech in Computers, MS/M.Sc(Science) in Computers, PG Diploma in Computers, MCM in Computers and Management, MCA in Computers Doctorate: Ph.D/Doctorate in Computers Key Skills Skills highlighted with ‘‘ are preferred keyskills JavaPython CSSGITGCPAzure CloudJavascriptHTMLWebpackAWS

Job description We are rare amongst banks in that our senior leadership team includes backgrounds at world-leading FinTechs, which shows in their active engagement with our cross-functional Product Squads, and in our bank-wide adoption of modern tools techniques such as DevOps, Terraform, and the Azure Cloud. We are working on one of the last untapped fintech opportunities, which is banking for established small medium-sized enterprises (SMEs). These established SMEs are the backbone of local communities, representing about a quarter of the economy, yet have been largely left behind both by traditional banks and modern fintech providers. Because were breaking new ground, it often means that were working on new technological challenges. We are building in-house banking products using modern technologies. Role Description Data is a key asset to Allica and is deeply embedded in all our teams and products. With data, we assist and work with Finance, Operations, Credit Risk, Product, and Management. We are looking for ambitious and curious people who can help us understand our data better, contribute to building robust data pipelines, and help model our data so that stakeholders and team members can extract better insights from it. You will be an integral part of the data engineering team, building and developing the tooling and pipelines that form our data ingestion and modelling machine for our partnership agreements. Principal Accountabilities Understand our data landscape and architecture. Strong skillset in data modelling. Build and maintain data pipelines. Work with the team to engineer tools based on data requirements, manage development from prototyping to productioniSing. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, improving existing tools for greater scalability, etc. Develop and maintain data and coding standards, produce well-documented codes with robust testing, and align with our data governance. Helping us implement a data-driven mindset in the company. Personal Attributes Experience Previous experience working as a data engineer in a start-up or fast-paced organisation. STEM background or similar. You have strong Python programming skills (built production-grade tools, have a test-driven approach, consistent and well documented code). You have strong SQL skills. Deployed applications on cloud services. Experience in using orchestration tools (Airflow, Dagster or Prefect). Experience with container technology (Docker, Kubernetes). Experience with CI/CD pipelines (preferably Azure DevOps). Experience with application deployment to Cloud services (GCP, AWS, Azure preferred) Role: Data Engineer Industry Type: Financial Services Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills AssuranceDevelopment ManagerCodingGCPCloud ServicesBankingdata governanceTeam buildingSQLPython

Job description We are rare amongst banks in that our senior leadership team includes backgrounds at world-leading FinTechs, which shows in their active engagement with our cross-functional Product Squads, and in our bank-wide adoption of modern tools techniques such as DevOps, Terraform, and the Azure Cloud. We are working on one of the last untapped fintech opportunities, which is banking for established small medium-sized enterprises (SMEs). These established SMEs are the backbone of local communities, representing about a quarter of the economy, yet have been largely left behind both by traditional banks and modern fintech providers. Because were breaking new ground, it often means that were working on new technological challenges. We are building in-house banking products using modern technologies. Role Description Data is a key asset to Allica and is deeply embedded in all our teams and products. With data, we assist and work with Finance, Operations, Credit Risk, Product, and Management. We are looking for ambitious and curious people who can help us understand our data better, contribute to building robust data pipelines, and help model our data so that stakeholders and team members can extract better insights from it. You will be an integral part of the data engineering team, building and developing the tooling and pipelines that form our data ingestion and modelling machine for our partnership agreements. Principal Accountabilities Understand our data landscape and architecture. Strong skillset in data modelling. Build and maintain data pipelines. Work with the team to engineer tools based on data requirements, manage development from prototyping to productioniSing. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, improving existing tools for greater scalability, etc. Develop and maintain data and coding standards, produce well-documented codes with robust testing, and align with our data governance. Helping us implement a data-driven mindset in the company. Personal Attributes Experience Previous experience working as a data engineer in a start-up or fast-paced organisation. STEM background or similar. You have strong Python programming skills (built production-grade tools, have a test-driven approach, consistent and well documented code). You have strong SQL skills. Deployed applications on cloud services. Experience in using orchestration tools (Airflow, Dagster or Prefect). Experience with container technology (Docker, Kubernetes). Experience with CI/CD pipelines (preferably Azure DevOps). Experience with application deployment to Cloud services (GCP, AWS, Azure preferred) Role: Data Engineer Industry Type: Financial Services Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills AssuranceDevelopment ManagerCodingGCPCloud ServicesBankingdata governanceTeam buildingSQLPython

Job description We are rare amongst banks in that our senior leadership team includes backgrounds at world-leading FinTechs, which shows in their active engagement with our cross-functional Product Squads, and in our bank-wide adoption of modern tools techniques such as DevOps, Terraform, and the Azure Cloud. We are working on one of the last untapped fintech opportunities, which is banking for established small medium-sized enterprises (SMEs). These established SMEs are the backbone of local communities, representing about a quarter of the economy, yet have been largely left behind both by traditional banks and modern fintech providers. Because were breaking new ground, it often means that were working on new technological challenges. We are building in-house banking products using modern technologies. Role Description Data is a key asset to Allica and is deeply embedded in all our teams and products. With data, we assist and work with Finance, Operations, Credit Risk, Product, and Management. We are looking for ambitious and curious people who can help us understand our data better, contribute to building robust data pipelines, and help model our data so that stakeholders and team members can extract better insights from it. You will be an integral part of the data engineering team, building and developing the tooling and pipelines that form our data ingestion and modelling machine for our partnership agreements. Principal Accountabilities Understand our data landscape and architecture. Strong skillset in data modelling. Build and maintain data pipelines. Work with the team to engineer tools based on data requirements, manage development from prototyping to productioniSing. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, improving existing tools for greater scalability, etc. Develop and maintain data and coding standards, produce well-documented codes with robust testing, and align with our data governance. Helping us implement a data-driven mindset in the company. Personal Attributes Experience Previous experience working as a data engineer in a start-up or fast-paced organisation. STEM background or similar. You have strong Python programming skills (built production-grade tools, have a test-driven approach, consistent and well documented code). You have strong SQL skills. Deployed applications on cloud services. Experience in using orchestration tools (Airflow, Dagster or Prefect). Experience with container technology (Docker, Kubernetes). Experience with CI/CD pipelines (preferably Azure DevOps). Experience with application deployment to Cloud services (GCP, AWS, Azure preferred) Role: Data Engineer Industry Type: Financial Services Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills AssuranceDevelopment ManagerCodingGCPCloud ServicesBankingdata governanceTeam buildingSQLPython

Job description We are rare amongst banks in that our senior leadership team includes backgrounds at world-leading FinTechs, which shows in their active engagement with our cross-functional Product Squads, and in our bank-wide adoption of modern tools techniques such as DevOps, Terraform, and the Azure Cloud. We are working on one of the last untapped fintech opportunities, which is banking for established small medium-sized enterprises (SMEs). These established SMEs are the backbone of local communities, representing about a quarter of the economy, yet have been largely left behind both by traditional banks and modern fintech providers. Because were breaking new ground, it often means that were working on new technological challenges. We are building in-house banking products using modern technologies. Role Description Data is a key asset to Allica and is deeply embedded in all our teams and products. With data, we assist and work with Finance, Operations, Credit Risk, Product, and Management. We are looking for ambitious and curious people who can help us understand our data better, contribute to building robust data pipelines, and help model our data so that stakeholders and team members can extract better insights from it. You will be an integral part of the data engineering team, building and developing the tooling and pipelines that form our data ingestion and modelling machine for our partnership agreements. Principal Accountabilities Understand our data landscape and architecture. Strong skillset in data modelling. Build and maintain data pipelines. Work with the team to engineer tools based on data requirements, manage development from prototyping to productioniSing. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, improving existing tools for greater scalability, etc. Develop and maintain data and coding standards, produce well-documented codes with robust testing, and align with our data governance. Helping us implement a data-driven mindset in the company. Personal Attributes Experience Previous experience working as a data engineer in a start-up or fast-paced organisation. STEM background or similar. You have strong Python programming skills (built production-grade tools, have a test-driven approach, consistent and well documented code). You have strong SQL skills. Deployed applications on cloud services. Experience in using orchestration tools (Airflow, Dagster or Prefect). Experience with container technology (Docker, Kubernetes). Experience with CI/CD pipelines (preferably Azure DevOps). Experience with application deployment to Cloud services (GCP, AWS, Azure preferred) Role: Data Engineer Industry Type: Financial Services Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills AssuranceDevelopment ManagerCodingGCPCloud ServicesBankingdata governanceTeam buildingSQLPython

Job description We are rare amongst banks in that our senior leadership team includes backgrounds at world-leading FinTechs, which shows in their active engagement with our cross-functional Product Squads, and in our bank-wide adoption of modern tools techniques such as DevOps, Terraform, and the Azure Cloud. We are working on one of the last untapped fintech opportunities, which is banking for established small medium-sized enterprises (SMEs). These established SMEs are the backbone of local communities, representing about a quarter of the economy, yet have been largely left behind both by traditional banks and modern fintech providers. Because were breaking new ground, it often means that were working on new technological challenges. We are building in-house banking products using modern technologies. Role Description Data is a key asset to Allica and is deeply embedded in all our teams and products. With data, we assist and work with Finance, Operations, Credit Risk, Product, and Management. We are looking for ambitious and curious people who can help us understand our data better, contribute to building robust data pipelines, and help model our data so that stakeholders and team members can extract better insights from it. You will be an integral part of the data engineering team, building and developing the tooling and pipelines that form our data ingestion and modelling machine for our partnership agreements. Principal Accountabilities Understand our data landscape and architecture. Strong skillset in data modelling. Build and maintain data pipelines. Work with the team to engineer tools based on data requirements, manage development from prototyping to productioniSing. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, improving existing tools for greater scalability, etc. Develop and maintain data and coding standards, produce well-documented codes with robust testing, and align with our data governance. Helping us implement a data-driven mindset in the company. Personal Attributes Experience Previous experience working as a data engineer in a start-up or fast-paced organisation. STEM background or similar. You have strong Python programming skills (built production-grade tools, have a test-driven approach, consistent and well documented code). You have strong SQL skills. Deployed applications on cloud services. Experience in using orchestration tools (Airflow, Dagster or Prefect). Experience with container technology (Docker, Kubernetes). Experience with CI/CD pipelines (preferably Azure DevOps). Experience with application deployment to Cloud services (GCP, AWS, Azure preferred) Role: Data Engineer Industry Type: Financial Services Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills AssuranceDevelopment ManagerCodingGCPCloud ServicesBankingdata governanceTeam buildingSQLPython