1775 Versioning Jobs - Page 3

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We build intelligent, cutting-edge solutions designed to scale and evolve with the future of artificial intelligence. Role Overview We are looking for a skilled and versatile AI Infrastructure Engineer (DevOps/MLOps) to build and manage the cloud infrastructure, deployment pipelines, and machine learning operations behind our AI-powered products. You will work at the intersection of software engineering, ML, and cloud architecture to ensure that our models and systems are scalable, reliable, and production-ready. Key Responsibilities Design and manage CI/CD pipelines for both software applications and machine learning workflows. Deploy and monitor ML models in production using tools like MLflow, SageMaker, Vertex AI, or similar. Automate the provisioning and configuration of infrastructure using IaC tools (Terraform, Pulumi, etc. Build robust monitoring, logging, and alerting systems for AI applications. Manage containerized services with Docker and orchestration platforms like Kubernetes. Collaborate with data scientists and ML engineers to streamline model experimentation, versioning, and deployment. Optimize compute resources and storage costs across cloud environments (AWS, GCP, or Azure). Ensure system reliability, scalability, and security across all environments. Requirements 5+ years of experience in DevOps, MLOps, or infrastructure engineering roles. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and services related to ML workloads. Strong knowledge of CI/CD tools (e.g, GitHub Actions, Jenkins, GitLab CI). Proficiency in Docker, Kubernetes, and infrastructure-as-code frameworks. Experience with ML pipelines, model versioning, and ML monitoring tools. Scripting skills in Python, Bash, or similar for automation tasks. Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK, CloudWatch, etc. Understanding of ML lifecycle management and reproducibility. Preferred Qualifications Experience with Kubeflow, MLflow, DVC, or Triton Inference Server. Exposure to data versioning, feature stores, and model registries. Certification in AWS/GCP DevOps or Machine Learning Engineering is a plus. Background in software engineering, data engineering, or ML research is a bonus. What We Offer Work on cutting-edge AI platforms and infrastructure. Cross-functional collaboration with top ML, research, and product teams. Competitive compensation package - no constraints for the right candidate. (ref:hirist.tech) Show more Show less

Position Overview We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have extensive experience with AWS Glue, Apache Airflow, Kafka, SQL, Python and DataOps tools and technologies. Knowledge of SAP HANA & Snowflake is a plus. This role is critical for designing, developing, and maintaining our clients data pipeline architecture, ensuring the efficient and reliable flow of data across the organization. Key Responsibilities Design, Develop, and Maintain Data Pipelines : Develop robust and scalable data pipelines using AWS Glue, Apache Airflow, and other relevant technologies. Integrate various data sources, including SAP HANA, Kafka, and SQL databases, to ensure seamless data flow and processing. Optimize data pipelines for performance and reliability. Data Management And Transformation Design and implement data transformation processes to clean, enrich, and structure data for analytical purposes. Utilize SQL and Python for data extraction, transformation, and loading (ETL) tasks. Ensure data quality and integrity through rigorous testing and validation processes. Collaboration And Communication Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs. Collaborate with cross-functional teams to implement DataOps practices and improve data life cycle management. Monitoring And Optimization Monitor data pipeline performance and implement improvements to enhance efficiency and reduce latency. Troubleshoot and resolve data-related issues, ensuring minimal disruption to data workflows. Implement and manage monitoring and alerting systems to proactively identify and address potential issues. Documentation And Best Practices Maintain comprehensive documentation of data pipelines, transformations, and processes. Adhere to best practices in data engineering, including code versioning, testing, and deployment procedures. Stay up-to-date with the latest industry trends and technologies in data engineering and DataOps. Required Skills And Qualifications Technical Expertise : Extensive experience with AWS Glue for data integration and transformation. Proficient in Apache Airflow for workflow orchestration. Strong knowledge of Kafka for real-time data streaming and processing. Advanced SQL skills for querying and managing relational databases. Proficiency in Python for scripting and automation tasks. Experience with SAP HANA for data storage and management. Familiarity with DataOps tools and methodologies for continuous integration and delivery in data engineering. Preferred Skills Knowledge of Snowflake for cloud-based data warehousing solutions. Experience with other AWS data services such as Redshift, S3, and Athena. Familiarity with big data technologies such as Hadoop, Spark, and Hive. Soft Skills Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Detail-oriented with a commitment to data quality and accuracy. Ability to work independently and manage multiple projects simultaneously. (ref:hirist.tech) Show more Show less

About The Role We're looking for a Senior Data Scientist with hands-on experience in machine learning, GenAI, and cloud platforms to solve real-world problems in the BFSI/Insurance space. You'll work with a collaborative team to build and deploy models that drive business impact - from fraud detection and churn prediction to customer segmentation and unstructured data analysis. What You'll Do Build ML models (XGBoost, Neural Networks, Random Forests) for classification, regression, anomaly detection, and more. Use unsupervised learning techniques for segmentation, clustering, and cohort creation. Apply LLMs and GenAI for insights from unstructured data (e.g., call transcripts, agent notes). Deploy solutions on cloud platforms (preferably AWS) using tools like Databricks, SageMaker, Lambda, Docker, etc. Implement MLOps best practices - versioning, CI/CD, monitoring. Collaborate with business teams to translate models into insights that matter. What You Bring 5+ years of experience in data science roles. 1-2 years working in BFSI or Insurance domain. Proficient in Python, SQL, Databricks. Strong understanding of ML fundamentals including optimization techniques like gradient descent. Experience with GenAI/LLMs (nice to have). Cloud experience (AWS preferred) with exposure to end-to-end model deployment. Great communication skills and a problem-solving mindset. (ref:hirist.tech) Show more Show less

Job Title : Senior Data Scientist (Contract | Remote) Location : Remote Experience Required : 7 - 10 Years About The Role We are seeking a highly experienced Senior Data Scientist to join our team on a contract basis. This role is ideal for someone who excels in predictive analytics and has strong hands-on experience with Databricks and PySpark. You will play a key role in building and deploying scalable machine learning models, with a focus on regression, classification, and time-series forecasting. Key Responsibilities Design, build, and deploy predictive models using regression, classification, and time-series techniques. Develop and maintain scalable data pipelines using Databricks and PySpark. Leverage MLflow for experiment tracking and model versioning. Utilize Delta Lake for efficient data storage and version control. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Implement and manage CI/CD pipelines for model deployment. Work with cloud platforms such as Azure or AWS to develop and deploy ML solutions. Required Skills & Qualifications Minimum 7 years of experience in predictive analytics and machine learning. Strong expertise in Databricks, PySpark, MLflow, and Delta Lake. Proficiency in Python, Spark MLlib, and AutoML frameworks. Experience working with CI/CD pipelines for model deployment. Familiarity with Azure or AWS cloud services. Excellent problem-solving skills and ability to work : Prior experience in the Life Insurance or Property & Casualty (P&C) insurance domain. (ref:hirist.tech) Show more Show less

About The Company Implement Architecture and design from definition phase to go-live the Role : Work with the business analyst and SMEs to understand the current landscape priorities. Define conceptual and low-level model of using AI technology. Review design to make sure design is aligned with Architecture. Handson development of AI lead solution. Implement entire data pipeline of data crawling, ETL, creating Fact Tables, Data quality management etc. Integrate with multiple system using API or Web Services or data exchange mechanism. Build interfaces that gather data from various data sources such as: flat files, data extracts & incoming feeds from various data sources as well as directly interfacing with enterprise applications. Ensure that the solution is scalable, maintainable, and meet the best practices for security, performance and data management. Owning research assignments and development. Leading, developing and assisting developers & other team members. Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project. Define and deliver against the solution benefits statement. Positively and constructively engage with clients and operations teams efforts where : Implement Architecture and design from definition phase to go-live phase. Work with the business analyst and SMEs to understand the current landscape priorities. Define conceptual and low-level model of using AI technology. Review design to make sure design is aligned with Architecture. Handson development of AI lead solution. Implement entire data pipeline of data crawling, ETL, creating Fact Tables, Data quality management etc. Integrate with multiple system using API or Web Services or data exchange mechanism. Build interfaces that gather data from various data sources such as: flat files, data extracts & incoming feeds from various data sources as well as directly interfacing with enterprise applications. Ensure that the solution is scalable, maintainable, and meet the best practices for security, performance and data management. Owning research assignments and development. Leading, developing and assisting developers & other team members. Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project. Define and deliver against the solution benefits statement. Positively and constructively engage with clients and operations teams efforts where : A Bachelor's degree in Computer Science, Software Engineering, or a related Skills : Minimum 5 years of IT experience including 3+ years of experience as Full stack developer preferably using Python skills 2+ years of hands-on experience in Azure Data factory, Azure Databricks / Spark (familiarity with fabric), Azure Data Lake storage (Gen1/Gen2), Azure Synapse/SQL DW Expertise in designing/deploying data pipeline, from data crawling, ETL, Data warehousing, data applications on Azure Experienced in AI technology including: Machine Learning algorithms, Natural Language Processing, Deep Learning, Image Recognition, Speech Recognition etc. Proficient in programming languages like Python (Full Stack exposure) Proficient in dealing with all the layers in solution; multi-channel presentation, business logic in middleware, data access layer, RDBMS | NO-SQL; E.g. MySQL, MongoDB, Cassendra, SQL Server DBs Familiar with Vector DB such as: FAISS, CromaDB, PineCone, Weaveate, Feature Store Experience in implementing and deploying applications on Azure Proficient in creating technical documents like Architecture views, Technology Architecture blueprint and design specification Experienced in using tools like Rational suite, Enterprise Architect, Eclipse, and Source code versioning systems like Git Experience with different development methodologies (RUP | Scrum | Skills : None range and compensation package : None Opportunity Statement : Include a statement on commitment to diversity and inclusivity. (ref:hirist.tech) Show more Show less

Company Description At Blend, we are award-winning experts who transform businesses by delivering valuable insights that make a difference. From crafting a data strategy that focuses resources on what will make the biggest difference to your company, to standing up infrastructure, and turning raw data into value through data science and visualization: we do it all. We believe that data that doesn't drive value is lost opportunity, and we are passionate about helping our clients drive better outcome through applied analytics. We are obsessed with delivering world class solutions to our customers through our network of industry leading partners. If this sounds like your kind of challenge, we would love to hear from you. For more information, visit www.blend360.com Job Description We are looking for someone who is ready for the next step in their career and is excited by the idea of solving problems and designing best in class. However, they also need to be aware of the practicalities of making a difference in the real world – whilst we love innovative advanced solutions, we also believe that sometimes a simple solution can have the most impact. Our AI Engineer is someone who feels the most comfortable around solving problems, answering questions and proposing solutions. We place a high value on the ability to communicate and translate complex analytical thinking into non-technical and commercially oriented concepts, and experience working on difficult projects and/or with demanding stakeholders is always appreciated. What can you expect from the role? Contribute to design, develop, deploy and maintain AI solutions Use a variety of AI Engineering tools and methods to deliver Own parts of projects end-to-end Contributing to solutions design and proposal submissions Supporting the development of the AI engineering team within Blend Maintain in-depth knowledge of the AI ecosystems and trends Mentor junior colleagues Qualifications Contribute to the design, development, testing, deployment, maintenance, and improvement of robust, scalable, and reliable software systems, adhering to best practices. Apply Python programming skills for both software development and AI/ML tasks. Utilize analytical and problem-solving skills to debug complex software, infrastructure, and AI integration issues. Proficiently use version control systems, especially Git and ML/LLMOps model versioning protocols. Assist in analysing complex or ambiguous AI problems, breaking them down into manageable tasks, and contributing to conceptual solution design within the rapidly evolving field of generative AI. Work effectively within a standard software development lifecycle (e.g., Agile, Scrum). Contribute to the design and utilization of scalable systems using cloud services (AWS, Azure, GCP), including compute, storage, and ML/AI services. (Preferred: Azure) Participate in designing and building scalable and reliable infrastructure to support AI inference workloads, including implementing APIs, microservices, and orchestration layers. Contribute to the design, building, or working with event-driven architectures and relevant technologies (e.g., Kafka, RabbitMQ, cloud event services) for asynchronous processing and system integration. Experience with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes, Airflow, Kubeflow, Databricks Jobs, etc). Assist in implementing CI/CD pipelines and optionally using IaC principles/tools for deploying and managing infrastructure and ML/LLM models. Contribute to developing and deploying LLM-powered features into production systems, translating experimental outputs into robust services with clear APIs. Demonstrate familiarity with transformer model architectures and a practical understanding of LLM specifics like context handling. Assist in designing, implementing, and optimising prompt strategies (e.g., chaining, templates, dynamic inputs); practical understanding of output post-processing. Experience integrating with third-party LLM providers, managing API usage, rate limits, token efficiency, and applying best practices for versioning, retries, and failover. Contribute to coordinating multi-step AI workflows, potentially involving multiple models or services, and optimising for latency and cost (sequential vs. parallel execution). Assist in monitoring, evaluating, and optimising AI/LLM solutions for performance (latency, throughput, reliability), accuracy, and cost in production environments. Additional Information Experience specifically with the Databricks MLOps platform. Familiarity with fine-tuning classical LLM models. Experience ensuring security and observability for AI services. Contribution to relevant open-source projects. Familiarity with building agentic GenAI modules or systems. Have hands-on experience implementing and automating MLOps/LLMOps practices, including model tracking, versioning, deployment, monitoring (latency, cost, throughput, reliability), logging, and retraining workflows. Experience working with MLOps/experiment tracking and operational tools (e.g., MLflow, Weights & Biases). Show more Show less

Job Description: Data Engineer Role Overview The Data Engineer will be responsible for ensuring the availability, quality, and transformation of claims and operational data required for model development and integration. The role demands strong data pipeline design and engineering capabilities to support a scalable forecasting and capacity planning framework. Key Responsibilities Gather and process data from multiple sources including claims systems and operational databases. Build and maintain data pipelines to support segmentation and forecasting models. Ensure data integrity, transformation, and enrichment to align with modeling requirements. Collaborate with the Data Scientist to provide model-ready datasets. Support data versioning, storage, and automation for periodic refreshes. Assist in deployment/integration of data flows into operational dashboards or planning tools. Skills & Experience 5+ years of experience in data engineering or ETL development. Proficiency in SQL, Python, and data pipeline tools (e.g., Airflow, dbt, Spark, etc.). Experience with cloud-based data platforms (e.g., Azure, AWS, GCP). Understanding of data architecture and governance best practices. Prior experience working with insurance or operations-related data is a plus. Show more Show less

Skills: golang, go programming, golang developer, Java, REST API, AWS, Degree in Computer Science, Engineering, or a related field as well as prior experience as a Golang Developer You possess strong knowledge of common Goroutine and channel patterns You have expertise in the full suite of Go frameworks and tools You have an understanding of dependency management tools such as Godep, Sltr, etc. You have strong knowledge of Go templating language and code generation tools, such as Stringer You are experienced in using code versioning tools such as Git or equivalent Experience with RESTful APIs Experience with database systems (SQL/ No-SQL) Familiarity with various testing tools. You are a team player and problem solver with good communication skills Show more Show less

Role Description Role Proficiency: Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities Outcomes Interpret the application/feature/component design to develop the same in accordance with specifications. Code debug test document and communicate product/component/feature development stages. Validate results with user representatives; integrates and commissions the overall solution Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions Optimises efficiency cost and quality. Influence and improve customer satisfaction Set FAST goals for self/team; provide feedback to FAST goals of team members Measures Of Outcomes Adherence to engineering process and standards (coding standards) Adherence to project schedule / timelines Number of technical issues uncovered during the execution of the project Number of defects in the code Number of defects post delivery Number of non compliance issues On time completion of mandatory compliance trainings Code Outputs Expected: Code as per design Follow coding standards templates and checklists Review code – for team and peers Documentation Create/review templates checklists guidelines standards for design/process/development Create/review deliverable documents. Design documentation r and requirements test cases/results Configure Define and govern configuration management plan Ensure compliance from the team Test Review and create unit test cases scenarios and execution Review test plan created by testing team Provide clarifications to the testing team Domain Relevance Advise Software Developers on design and development of features and components with a deep understanding of the business problem being addressed for the client. Learn more about the customer domain identifying opportunities to provide valuable addition to customers Complete relevant domain certifications Manage Project Manage delivery of modules and/or manage user stories Manage Defects Perform defect RCA and mitigation Identify defect trends and take proactive measures to improve quality Estimate Create and provide input for effort estimation for projects Manage Knowledge Consume and contribute to project related documents share point libraries and client universities Review the reusable documents created by the team Release Execute and monitor release process Design Contribute to creation of design (HLD LLD SAD)/architecture for Applications/Features/Business Components/Data Models Interface With Customer Clarify requirements and provide guidance to development team Present design options to customers Conduct product demos Manage Team Set FAST goals and provide feedback Understand aspirations of team members and provide guidance opportunities etc Ensure team is engaged in project Certifications Take relevant domain/technology certification Skill Examples Explain and communicate the design / development to the customer Perform and evaluate test results against product specifications Break down complex problems into logical components Develop user interfaces business software components Use data models Estimate time and effort required for developing / debugging features / components Perform and evaluate test in the customer or target environment Make quick decisions on technical/project related challenges Manage a Team mentor and handle people related issues in team Maintain high motivation levels and positive dynamics in the team. Interface with other teams designers and other parallel practices Set goals for self and team. Provide feedback to team members Create and articulate impactful technical presentations Follow high level of business etiquette in emails and other business communication Drive conference calls with customers addressing customer questions Proactively ask for and offer help Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks. Build confidence with customers by meeting the deliverables on time with quality. Estimate time and effort resources required for developing / debugging features / components Make on appropriate utilization of Software / Hardware’s. Strong analytical and problem-solving abilities Knowledge Examples Appropriate software programs / modules Functional and technical designing Programming languages – proficient in multiple skill clusters DBMS Operating Systems and software platforms Software Development Life Cycle Agile – Scrum or Kanban Methods Integrated development environment (IDE) Rapid application development (RAD) Modelling technology and languages Interface definition languages (IDL) Knowledge of customer domain and deep understanding of sub domain where problem is solved Additional Comments Python Developer: 5+ years of work experience using Python and AWS for developing enterprise software applications Experience in Apache Kafka, including topic creation, message optimization, and efficient message processing Skilled in Docker and container orchestration tools such as Amazon EKS or ECS Proven experience designing and developing microservices and RESTful APIs using Spring Boot Strong experience managing AWS components, including Lambda (Java), API Gateway, RDS, EC2, CloudWatch Experience working in an automated DevOps environment, using tools like Jenkins, SonarQube, Nexus, and Terraform for deployments Hands-on experience with Java-based web services, RESTful approaches, ORM technologies, and SQL procedures in Java. Experience with Git for code versioning and commit management Experience working in Agile teams with a strong focus on collaboration and iterative development Ability to implement changes following standard turnover procedures, with a CI/CD focus Bachelors or Masters degree in computer science, Information Systems or equivalent Skills Python,AWS,ECS Show more Show less

Full Stack PHP developer JD: Roles& Responsibilities 1. Strong knowledge of PHP, Laravel web framework. 2. Understanding of MVC design patterns. 3. Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3. 4. Knowledge of object oriented PHP programming. 5. Understanding fundamental design principles behind a scalable application. 6. Creating database schemas that represent and support business processes. 7. Familiarity with SQL/NoSQL databases and their declarative query languages. 8. Understanding of code versioning tools, such as Git.

Job Description Some careers shine brighter than others If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions We are currently seeking an experienced professional to join our team in the role of Software Engineer. Proactive collaboration in the project teams to help develop the product using your experience to help guide the team through the whole development lifecycle. Hands on with Planning, estimating, contributing to the architecture, coding, development. Refactoring and continuous improvements of the code bases is vital. Focus on SW quality and delivering quality throughout the whole process. Ensuring that technical decisions and information is communicated thorough all related teams. Taking responsibility of releases and contributing to the ongoing support of the live features. Experienced in Continuous Delivery practices and how they affect product quality and delivery. We promote a DevOps culture so you will need to look beyond pure programming and get involved with the deployment and operation of the software we build. Requirements To be successful in this role, you should meet the following requirements: Solid experience in UI Engineering with React/Angular with 3+ years of experience. Candidate with strong hands-on HTML5, CSS, Typescripts Hands on experience on using React to develop web applications and create common components. Solid hands on development and troubleshooting skills with some expertise on Spring boot API, Splunk logs. Very good with UI and Core Architectural Design patterns. Solid experience in writing Unit Tests and UI tests, must be familiar with Junit, and integrate those with Jenkins Pipeline. Experience with source code versioning tools, specifically Github command line. Familiar with security concept , Devops Familiar with any Cloud Technology AWS or GCP. You’ll achieve more when you join HSBC wwwhsbccom/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website Issued by – HSBC Software Development India Show more Show less

Dear Job seekers, Experience : 6+ years Positions Open : Senior Software Engineer / Associate Technical Lead / Technical Lead Skills : Node.js, React.js OR Angularjs Job Location : Madurai, Chennai, Trichy, Coimbatore Roles And Responsibilities Understanding the nature of asynchronous programming and its quirks and workarounds Strong proficiency with JavaScript; Strong proficiency in Node.js, React.js OR Angularjs, MongoDB JEST and frameworks available for it. Minimum 3+yrs of experience in Nodejs. Extensive knowledge of JavaScript, web stacks, libraries, frameworks, Postgresql, and DevOps. Knowledge of front-end technologies such as HTML5 and CSS3. Superb interpersonal, communication, and collaboration skills. Exceptional analytical and problem-solving aptitude. Great organizational and time management skills. Availability to resolve urgent application issues outside of business hours. Understanding accessibility and security compliance Implementing automated testing platforms and unit tests Proficient understanding of code versioning tools, such as Git Benefits: Competitive Package, Free Accommodation, Medical Insurance, Accident Insurance, Free Gym, Subsidised Meal facility, Power Nap during noon,Technology Grooming Community and more. Skills:- MongoDB, Express, NodeJS (Node.js), React.js and Angular (2+) Show more Show less

Job Title: Data Scientist – Data and Artificial Intelligence Location: Hyderabad Job Type: Full-time Company Description Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, and Cyber Security. We help businesses unlock the full potential of these technologies to achieve their goals and gain a competitive edge. Our unique approach focuses on delivering value through bespoke solutions tailored to customer specific needs. We are driven by a customer-centric mindset and committed to delivering continuous value through intellectual property accelerators and automation. Our team of experts is passionate about technology and dedicated to making a positive impact. We foster an environment of growth and innovation, constantly pushing the boundaries to deliver exceptional results. Website: www.qylis.com, LinkedIn: www.linkedin.com/company/qylis Job Summary We are an engineering organization collaborating directly with clients to address challenges using the latest technologies. Our focus is on joint code development with clients' engineers for cloud-based solutions, accelerating organizational progress. Working with product teams, partners, and open-source communities, we contribute to open source, striving for platform improvement. This role involves creating impactful solution patterns and open-source assets. As a team member, you'll collaborate with engineers from both teams, applying your skills and creativity to solve complex challenges and contribute to open source, while fostering professional growth. Responsibilities Researching and developing production-grade models (forecasting, anomaly detection, optimization, clustering, etc.) for global cloud business by using statistical and machine learning techniques. Manage large volumes of data, and create new and improved solutions for data collection, management, analyses, and data science model development. Drive the onboarding of new data and the refinement of existing data sources through feature engineering and feature selection. Apply statistical concepts and cutting-edge machine learning techniques to analyze cloud demand and optimize data science model code for distributed computing platforms and task automation. Work closely with other data scientists and data engineers to deploy models that drive cloud infrastructure capacity planning. Present analytical findings and business insights to project managers, stakeholders, and senior leadership and keep abreast of new statistical / machine learning techniques and implement them as appropriate to improve predictive performance. Oversees the analysis of data and leads the team in identifying trends, patterns, correlations, and insights to develop new forecasting models and improve existing models. Leads collaboration among team and leverages data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem. Consistently leverages knowledge of techniques to optimize analysis using algorithms. Modifies statistical analysis tools for evaluating Machine Learning models. Solves deep and challenging problems for circumstances such as when model predictions are not correct, when models do not match the training data or the design outcomes when the data is not clean when it is unclear which analyses to run, and when the process is ambiguous. Provides coaching to team members on business context, interpretation, and the implications of findings. Interprets findings and their implications for multiple businesses, and champions methodological rigour by calling attention to the limitations of knowledge wherever biases in data, methods, and analysis exist. Generates and leverages insights that inform future studies and reframe the research agenda. Informs both current business decisions by implementing and adapting supply-chain strategies through complex business intelligence. Qualifications M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer Science or Engineering, Data Science, Operations Research or similar applied quantitative field 7+ years of industry experience in developing production-grade statistical and machine learning code in a collaborative team environment. Prior experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel). Prior experience working on Computer Vision Project is an Add on Knowledge on AWS and Azure Cloud. Prior experience in time series forecasting. Prior experience with typical data management systems and tools such as SQL. Knowledge and ability to work within a large-scale computing or big data context, and hands-on experience with Hadoop, Spark, DataBricks or similar. Excellent analytical skills; ability to understand business needs and translate them into technical solutions, including analysis specifications and models. Experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel) with skill level at or near fluency. Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid knowledge of theory and practice. Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git. Creative thinking skills with emphasis on developing innovative methods to solve hard problems under ambiguity. Good interpersonal and communication (verbal and written) skills, including the ability to write concise and accurate technical documentation and communicate technical ideas to non-technical audiences. Skills:- Python, FastAPI, Large Language Models (LLM) tuning and MySQL Show more Show less

PHP Developer Experience: 4 + Years Location : Ahmedabad - WFO Job Description Position Requirements: Strong experience in Back-End Web Development, Object-Oriented Programming (OOP). Must have 4+ years of experience in Laravel, CodeIgniter, or other MVC frameworks Should have knowledge of Agile Process & Knowledge of Web Application Security concepts. Database experience of at least one of the following: PostgreSQL or MySQL. Must have experience of Laravel Seeders, Migration and factory files, Service Providers. Should have Experience of creating schedules and artisan commands in Laravel. Should be very strong with Object Oriented concepts, design and architecture. Basic Database conceptual knowledge such as DDL, DML and their usages. Knowledge of Ecommerce, payment gateway & API integration. Identify and correct bottlenecks and fix bugs Experience with Google Map API, Firebase API, and AWS is plus. Proficient understanding of code versioning tools (such as Git, Bitbucket) Skills:- PHP, Object Oriented Programming (OOPs), GitHub, RESTful APIs and Agile management Show more Show less

Attention all Application Developers! Join a dynamic and growing company where you can utilize your leadership skills and technical expertise to drive innovation and make a real impact. We are seeking a talented and motivated Lead Application Developer to join our dynamic team. Our ideal candidate has great leadership skills, a passion for technology, a strong understanding of software development principles, and a desire to continuously learn and grow their skills. As a Lead Application Developer, you will have the opportunity to work on a variety of projects developing web-based applications for market leading, highly accessed commercial digital content platform based on a high-performance Consumer Electronics device. you will be responsible for overseeing the development process from start to finish, working closely with our design and product teams to ensure that our applications meet the needs of our users and exceed their expectations. You will be working with the latest technologies and frameworks and will have the opportunity to shape the direction of our development strategy as we grow and evolve. We offer a supportive and inclusive work environment, and opportunities for professional growth and advancement. If you are ready to take your career to the next level and build the future, apply today! Primary Skills At least 2 Years of experience leading a team of 3 to 5 engineers team for potential end to end application development & enhancement. Lead SCRUM team with SCRUM process and Possess CSM/CSPO Agile SCRUM certifications Demonstrated proactive Planning, Execution and Value generations Skills. Passion for staying up-to-date with the latest industry trends and technologies. Strong experience with popular application development frameworks such as React, React Native, Angular, Ember.JS with excellent JavaScript, HTML5 and CSS development skills Strong experience with React and related technologies, such as Redux, React Native, or GraphQL Experience with modern front-end build pipelines and tools such as Babel, Webpack, NPM, etc. Solid understanding of MVC and stateless APIs & building RESTful APIs Familiarity with code versioning tools such as Git Strong problem-solving and analytical skills Excellent communication, Presentation, and collaboration skills Show more Show less

The Purpose of the role We are seeking a full stack data scientist in Advanced Analytics team, who will be at the forefront of developing new innovative data driven solutions with bleeding edge machine learning and AI solution end to end. AIML Data Scientist is a technical job that uses AI & machine learning techniques to automate underwriting processes, improve claims outcomes and/or risk solutions. This person will develop vibrant data science solutions which require data engineering, AlML algorithms and Ops engineering skills to develop and deploy it for the business. Ideal candidate for this role is someone with a strong education in computer science, data science, statistics, applied math or a related field, and who is eager to tackle problems with innovative thinking without compromising detail business insights. You are adept at solving diverse problems by utilizing a variety of different tools, strategies, machine learning techniques, algorithms and programming languages. Responsibilities Work with business partners globally, determine analyses to be performed, manage deliverables against timelines, present of results and implement the model. Use broad spectrum of Machine Learning, text and image AI models to extract impactful features from structured/unstructured data. Develop and implement models that help with automating, getting insights, make smart decisions; Ensure that the model is able to meet the desired KPIs post-production. Develop and deploy scalable and efficient machine learning models. Package and publish codes and solutions in reusable format python package format- (Pypi, Scikit-learn pipeline,..) Keep the code ready for seamless building of CI/CD pipelines and workflows for machine learning applications. Ensure high quality code that meets business objectives, quality standards and secure web development guidelines. Building reusable tools to streamline the modeling pipeline and sharing knowledge Build real-time monitoring and alerting systems for machine learning systems. Develop and maintain automated testing and validation infrastructure. Troubleshoot pipelines across multiple touchpoints like CI Server, Artifact storage and Deployment cluster. Implement best practices for versioning, monitoring and reusability. Requirements Sound understanding of ML concepts, Supervised / Unsupervised Learning, Ensemble Techniques, Hyperparameter Good knowledge of Random Forest, XGBoost, SVM, Clustering, building data pipelines in Azure/Databricks, deep learning models, OpenCV, Bert and new transformer models for NLU, LLM application in ML> Strong experience with Azure cloud computing and containerization technologies (like Docker, Kubernetes). 4-6 years of experience in delivery end to end data science models. Experience with Python/OOPs programming languages and data science frameworks like (Pandas, Numpy, TensorFlow, Keras, PyTorch, sklearn). Knowledge of DevOps tools such as Git, Jenkins, Sonar, Nexus is must. Building python wheels and debugging build process. Data pipeline building and debugging (by creating and following log traces). Basic knowledge of DevOps practices. Concepts of Unit Testing and Test-Driven development. SDE skills like OOP and Functional programming are an added advantage. Experience with Databricks and its ecosystem is an added advantage. analytics/statistics/mathematics or related domain. Show more Show less

Job Title: Python Developer Year of Experience: 5 to 7 Years Location: Bangalore / Jaipur In Time Tec is an award-winning IT & software company. In Time Tec offers progressive software development services, enabling its clients to keep their brightest and most valuable talent focused on innovation. In Time Tec has a leadership team averaging 15 years in software/firmware R&D, and 20 years building onshore/offshore R&D teams. We are looking for rare talent to join us. People having a positive mindset and great organizational skills will be drawn to the position. Your capacity to take initiative and solve problems as they emerge, flexibility, and honesty, will be key factors for your success at In Time Tec. Job Overview The position requires an experienced and ambitious candidate who is passionate about technology and self-driven. We have an energetic workplace where we welcome innovative ideas and offer growth opportunities and a positive environment for accomplishing goals. Our purpose is to create abundance for everyone we touch. Responsibilities Of The Role Include Experience on Open-Source Platforms in designing/ developing Web-based applications. Require Strong knowledge in Python with application/package/module development, tuning, and debugging tools. Proficient understanding of Python Identifiers, Reserved Words, Basic Operators, Variable Types, and User defined exception handling with their usage. In-depth knowledge of Python Dictionary and default modules included in Python (String, Date Time, Numbers, and other required functions usage). Proficient understanding of Sequences and their differences (Tuples/Lists). File manipulation-using Python (Create, Edit, and Delete view file). Ability to organize code logically and with the understandable procedure that is well defined, documented, and testable. Strong understanding of OOPS and Design Patterns (Code design skills in Python-based object-oriented programming and functional programming). Developing Web Applications with Python - Hands on experience using MVC frameworks like Django. Exposure to Code Versioning Systems such as Atlassian Bitbucket. In-depth Knowledge in JavaScript and jQuery. The candidate must display excellent written and verbal skills with demonstrated interpersonal and organizational abilities. Mandatory Skills Java Script, jQuery, OOPS, Design patterns, MVC frameworks, Python How You’ll Grow At In Time Tec In Time Tec, has made significant investments to create a stimulating environment for its people to grow. We want each of our employees to grow in their way and play their roles while honing their ownership abilities. As part of those efforts, we provide our professionals with a range of educational opportunities to help them grow in their career. Our guiding principles of leadership, trust, transparency, and integrity serve as the foundation for everything we do and every success we achieve. We are proud of these fundamental principles since they demonstrate our dedication towards them as a “One Team". Our people and culture work together in a collaborative environment, making In Time Tec a thriving place to work. You can find out more about Life at In Time Tec here. Show more Show less

Must-Have Skills & Traits Core Engineering Advanced Python skills with a strong grasp of clean, modular, and maintainable code practices Experience building production-ready backend services using frameworks like FastAPI, Flask, or Django Strong understanding of software architecture, including RESTful API design, modularity, testing, and versioning. Experience working with databases (SQL/NoSQL), caching layers, and background job queues. AI/ML & GenAI Expertise Hands-on experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment Practical experience with LLMs and GenAI tools such as OpenAI APIs, Hugging Face, LangChain, or Transformers Understanding of how to integrate LLMs into applications through prompt engineering, retrieval-augmented generation (RAG), and vector search Comfortable working with unstructured data (text, images) in real-world product environments Bonus: experience with model fine-tuning, evaluation metrics, or vector databases like FAISS, Pinecone, or Weaviate Ownership & Execution Demonstrated ability to take full ownership of features or modules from architecture to delivery Able to work independently in ambiguous situations and drive solutions with minimal guidance Experience collaborating cross-functionally with designers, PMs, and other engineers to deliver user-focused solutions Strong debugging, systems thinking, and decision-making skills with an eye toward scalability and performance Nice-to-Have Skills Experience in startup or fast-paced product environments. 2-5 years of relevant experience. Familiarity with asynchronous programming patterns in Python. Exposure to event-driven architecture and tools such as Kafka, RabbitMQ, or AWS EventBridge Data science exposure: exploratory data analysis (EDA), statistical modeling, or experimentation Built or contributed to agentic systems, ML/AI pipelines, or intelligent automation tools Understanding of MLOps: model deployment, monitoring, drift detection, or retraining pipelines Frontend familiarity (React, Tailwind) for prototyping or contributing to full-stack features Show more Show less

Job Description [Technology and Sub-technology] Java, Spring Platform Node.js React.js AWS services [Base Location]: Bangalore [Type]: Work from Office [Qualifications] Education level- Graduate engineer/MBA Experience- 6 to 8 years [Job Overview]: We are looking for a Senior developer responsible for building applications and maintaining end to end solution. This includes anything between complex groups of back-end services and their corresponding client-end interfaces. Primary responsibility will be to design and develop these applications, lead and coordinate with the team working on different layers of the Application. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality is essential. Associate should be able to lead a team and manage the team to develop and deliver the business use cases. Support experience will be an add on. [Primary Skills]: Proficient in Java, with a good knowledge of its ecosystems Excellent communication skills Solid understanding of object-oriented programming Familiar with various design and architectural patterns Skill for writing reusable Java libraries, Java frameworks like spring, springboot. Hands on experience on basic front-end technologies like HTML, Javascripts, ECMAScripts and frameworks like React JS, Angular etc. will be desired. Experience working with application and web servers like Nginx, Tomcat, Jboss, weblogic, webshpere etc. Creating database schemas that represent and support business processes Proficient understanding of code versioning tools, such as Git Basic understanding and experience on SQL engines like oracle, mysql, postgres etc. and Non-SQL engines like MongoDB will be good to have. Familiarity with concepts of MVC, JDBC, and RESTful (web services) Familiarity with Java GUI frameworks React JS, Angular, Mean and Mern stack will be nice to have. [Good to have Skills]: Knack for writing clean, readable Java code Understanding fundamental design principles behind a scalable application Basic understanding of the class loading mechanism in Java Basic understanding of JVM, its limitations, weaknesses, and workarounds Implementing automated testing platforms and unit tests Familiarity with build tools such as Ant, Maven, and Gradle Familiarity with continuous integration and continuous deployments Good to have knowledge of AWS ecosystem. [Responsibilities and Duties]: Translate application storyboards and use cases into functional applications Design, build, and maintain efficient, reusable, and reliable Java code Ensure the best possible performance, quality, and responsiveness of the applications Identify bottlenecks and bugs, and devise solutions to these problems Help maintain code quality, organization, and automatization Support application platforms. Additional Information Beware of scams Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) [email protected] domain email address regarding your application and interview requests. All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate. Show more Show less

Hello, Good Day ! Minimum 6 Yrs Hands-on with the Subject. Currently, looking for an Individual, possessing the following Skill-Set w.r.t to Employment. Kindly reach-out to me if you inherit these tools. Sharing the required profile for your reference. Job Description & Skill set : - Sr MEAN Developer with 5+ years of experience in AngularJS / NodeJS / ExpressJS / MongoDB . Good understanding of Object Oriented Programming, Functional Programming, High order functions etc . Automations, bundling tools - Gulp, Grunt , Webpack etc. for implementing and packaging . Deep understanding of let, const , promises, map ,set , rest operators, arrow functions , class components . Angular - Components, Templates, Directives, Dependency Injection, Routing and Navigation, Template and Reactive Forms, Services. Strong proficiency with JavaScript and Typescript. Knowledge of Node.js and frameworks such as Express with solid experience in designing and developing Node.js services/REST APIs . Hands on experience on creation of REST APIs, Testing of REST APIs. Implementing microservices using Node JS . DevOps - Hands on experience in CI/CD and good understanding of Azure DevOps . Proficient understanding of web markup, including HTML5 and CSS3. Demonstrated angular (9 or higher versions) experience in developing maintainable, scalable, cross-browser code that is a delight to experience on any device. Specialized technical knowledge of the MongoDB platform or similar NoSQL .technologies. Hands on experience on Mongo DB concepts and implementing CRUD operations . Understanding the nature of asynchronous programming and its quirks and workarounds. Have hands-on experience in a wide range of authentication and authorization technologies. Proficient understanding of code versioning tools, such as VSTS/GIT. Experience and working knowledge of Agile Methodology. Understanding and working experience in Agile SCRUM projects . Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform. In depth knowledge of modeling patterns and understanding of the potential limitations within MongoDB . Containerization - Docker, Kubernetes Good working experience on Docker, Kubernetes . Show more Show less

We are seeking a talented and experienced React frontend developer with a minimum of 3 years of experience in building modern web applications using React.js and Tailwind CSS, to join our growing team in Kochi . This position does not have a hybrid or w.f.h option, candidates who can work on site and locally available are prefered. Experience and Skills Senior front end developer should have excellent working knowledge of React JS and and Tailwind CSS, having hands on working experience of at least 3 years. Proficiency in JavaScript (ES6+), HTML5, and CSS3 Experience with state management tools (Redux, MobX etc.) Excellent communication skills, both with internal and external stakeholders. Strong proficiency in JavaScript and the JavaScript object model Thorough understanding of React.js and its core principles Familiarity with RESTful APIs Knowledge of modern authorization mechanisms, such as JWT Familiarity with code versioning tools such as Git Experience with build tools (Webpack, Vite, etc.) Responsibilities Your primary focus will be on developing user interface components using React.js and implementing them following well-known ReactJS workflows (such as Flux or Redux). You will coordinate with the rest of the team working on different layers of the infrastructure. Translating designs and wireframes into high quality code Optimizing components for maximum performance across a vast array of web-capable devices and browsers Nice to have: Experience with TypeScript Familiarity with Next.js or React Native Knowledge of component testing (Jest, React Testing Library) Expecting applications only from serious job seekers. Show more Show less

Company Description Codewinglet Private Limited is a trusted technology outsourcing services company that specializes in solving intricate software engineering challenges through disruptive innovation and technical advancements. Established in 2018, we have successfully assisted startups, Enterprise companies, and forward-thinking enterprises worldwide. With a focus on strategic planning, designing, and developing world-class software, we leverage state-of-the-art technologies to drive tangible business outcomes. Job Description Work Location: Surat, Gujarat Position: React Js Developer Experience: 1+ years Role Description This is a full-time on-site role for a React.js Engineer at Codewinglet Private Limited located in Surat. The React.js Engineer will be responsible for developing and maintaining front-end components, implementing user interactions, and working closely with back-end developers to integrate server-side logic. The role will involve collaborating with cross-functional teams to deliver high-quality software solutions. Skills & Requirements • Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model • Thorough understanding of React.js and its core principles • Experience with popular React.js workflows (such as Flux or Redux) • Experience with data structure libraries (e.g., Immutable.js) • Knowledge of isomorphic React is a plus • Familiarity with RESTful APIs • Knowledge of modern authorization mechanisms, such as JSON Web Token • Familiarity with modern front-end build pipelines and tools • Experience with common front-end development tools such as Babel, Webpack, NPM, etc. • Ability to understand business requirements and translate them into technical requirements • A knack for benchmarking and optimization • Familiarity with code versioning tools (such as Git and SVN) • In-depth knowledge of JavaScript, CSS, HTML, and front-end languages. • Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux. • Experience with user interface design. • Knowledge of performance testing frameworks including Mocha and Jest. • Experience with browser-based debugging and performance testing software. • Excellent troubleshooting skills. • Good project management skills. Responsibilities • Developing new user-facing features using React.js • Building reusable components and front-end libraries for future use • Translating designs and wireframes into high quality code • Meeting with the development team to discuss user interface ideas and applications. • Reviewing application requirements and interface designs. • Identifying web-based user interactions. • Writing application interface codes using JavaScript following react.js workflows. • Troubleshooting interface software and debugging application codes. • Developing and implementing front-end architecture to support user interface concepts. • Documenting application changes and developing updates. Show more Show less

Senior Product Manager – AI-Powered Investigation & Response Content Overview We’re seeking a seasoned Senior Product Manager to lead the strategy and delivery of AI-driven threat investigation and response content within our next-gen AI investigation platform. This role is ideal for someone who has hands-on experience with detection logic (e.g., Sigma, KQL, YAML), but is now focused on building scalable pipelines and frameworks that feed AI-based workflows for automated investigation, prioritization, and response. You’ll be responsible for defining how threat signals, detections, and analyst actions are transformed into dynamic content that powers automated and guided investigations—integrated across cloud platforms and SOC environments. Key Responsibilities Own the Product Strategy for investigation and response content that supports AI-based decision-making and automation. Operationalize Content Pipelines to continuously deliver investigation and response content (e.g., decision trees, playbooks, enrichment steps) across customers via CI/CD. Standardize Content Frameworks to ensure structured, reusable, and extensible logic using formats like YAML, Sigma, and JSON. Collaborate with Detection & ML Teams to align investigation triggers, context enrichment, and response actions with AI models and logic engines. Map Detection to Investigation: Work with engineering and threat teams to define how signals from Snowflake, Google Chronicle, Sentinel (KQL), etc., are consumed and enriched in investigation workflows. Drive Feedback Loops: Define structures that enable AI to learn from analyst feedback, human-in-the-loop responses, and investigation outcomes. Ensure Coverage Across Platforms: Coordinate across cloud environments (AWS, Azure, GCP) as well as across products aligning to the same category - Firewalls, IAM, EDR/XDR etc to ensure that AI-driven content works consistently with telemetry from each source. Measure & Optimize content usage, accuracy, and performance across customer environments. Requirements 7–10 years in Product Management or a hybrid Detection Engineering/Content role, preferably in cloud security or threat detection/response. Experience working with or building detection content in Sigma, YAML, or KQL (Microsoft Sentinel). Familiarity with SIEM / data lakes such as Snowflake, Google Chronicle, ELK,Splunk, MS Sentinel or similar systems. Strong understanding of threat detection signals, cloud telemetry, and how they map to automated investigations and playbook-driven response. Demonstrated experience in operationalizing security content using Git-based workflows, CI/CD pipelines, and versioning best practices. Strong collaboration skills; ability to work cross-functionally with engineers, threat researchers, and AI/ML teams. Nice to Have Experience with AI/ML-based investigation platforms or decision engines for security operations. Familiarity with response frameworks like SOAR, XDR, or custom security automation platforms. Prior experience in building multi-tenant, content-driven platforms or working with MSSPs. Scripting skills (Python, Bash) or previous hands-on work automating security tasks. Security certifications (e.g., GCIA, GCTI, CISSP) or prior SOC/IR background. Show more Show less

Senior .NET Developer / Technical Lead – Custom CRM Optimization Company Overview: We are a fast-growing organization managing a custom-built .NET CRM platform used for internal operations. We’re currently facing delays in feature rollouts and issue resolution. To overcome this, we’re looking for a technically strong and experienced .NET professional who can take ownership, solve complex problems quickly, and mentor our in-house developers. Job Location: Delhi Experience Required: 5 to 10 years Key Responsibilities: Audit and analyze the existing CRM codebase to identify bottlenecks. Optimize system performance, response time, and code quality. Guide and mentor 2-3 junior/mid-level developers. Work closely with stakeholders to implement new features efficiently. Lead architectural improvements and introduce coding best practices. Setup basic DevOps practices (Git, CI/CD, deployment automation). Coordinate with team for sprint planning and tech prioritization. Technical Skills Required: Strong command over ASP.NET MVC / .NET Core SQL Server, Stored Procedures, and performance tuning Entity Framework, LINQ JavaScript, jQuery, HTML, CSS Git, Visual Studio Experience in performance profiling and optimization tools Good to Have: Experience in building or optimizing custom CRM systems Familiarity with cloud deployment (Azure/AWS) Experience with code versioning and deployment automation Ability to conduct code reviews and knowledge-sharing sessions Soft Skills: Problem-solving mindset with the ability to work independently Strong communication and documentation skills Ability to mentor junior developers and improve overall team output Things to take for first Round Examples of CRM/codebase optimizations you've led Availability for joining Current and expected CTC Interested candidates can call or WhatsApp on 9289809622 HR Prachi Job Type: Full-time Pay: ₹50,000.00 - ₹100,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Location: Chennai/Remote | Job Type: Full-time Position Overview: As a Senior Backend Developer, you will play a pivotal role in the design, development, and optimization of our web-based applications. Your primary responsibilities will include building scalable server-side logic, ensuring high performance, and integrating front-end elements developed by co-workers. You will leverage your expertise in Node.js, Django, PostgreSQL, MongoDB, AWS, and DevOps practices to deliver robust and efficient backend solutions that align with our business Objectives. Key Responsibilities: - Design and implement scalable server-side application logic using Node.js and Django. - Integrate user-facing elements developed by front-end developers with server-side logic. - Develop and maintain databases using MongoDB and PostgreSQL, ensuring performance and responsiveness. - Implement security and data protection best practices. - Design and implement data storage and retrieval strategies. - Collaborate with front-end developers and other team members to define objectives and develop cohesive code. - Develop RESTful APIs for mobile and web clients. - Optimize performance, usability, scalability, and automation of backend systems. - Manage hosting environments and perform database administration. - Implement CI/CD pipelines, containerization (e.g., Docker), and manage cloud deployment. - Ensure seamless integration and scalability using AWS services. - Follow backend development best practices in software engineering and DevOps. Qualifications: - Bachelor's degree in Computer Science, Information Technology, or equivalent experience. - 4+ years of experience in backend development with strong expertise in server-side technologies. - Proficiency in Node.js, Express.js, and Django. - Hands-on experience with MongoDB, PostgreSQL, and cloud environments like AWS. - Strong understanding of DevOps tools and practices, including CI/CD, Docker, and cloud-based deployment. - Familiarity with front-end technologies like HTML, CSS, and JavaScript for seamless integration. - Solid understanding of code versioning tools such as Git. - Experience in building and consuming RESTful APIs. - Ability to write clean, maintainable, and scalable code. - Excellent problem-solving, communication, and teamwork skills. - Ability to work independently and manage tasks under pressure. Please reach out to us through hr@feniceenergy.com Show more Show less