Senior Software Developer Jobs

We are looking for a skilled Software Designer to join our team in Australia. The ideal candidate will have between 9 to 15 years of experience in software design and development. You will work closely with various teams to create high-quality software solutions.**Key Responsibilities:**- **Software Development**: Design and develop software applications that meet user needs and industry standards. This involves writing clean and efficient code.- **System Architecture**: Create and maintain software architecture documents, ensuring that the systems are scalable, secure, and maintainable.- **Collaboration**: Work with product managers, developers, and QA teams to gather requirements and provide technical guidance throughout the project lifecycle.- **Code Review and Quality Assurance**: Conduct code reviews to ensure adherence to best practices and high-quality standards. Participate in testing activities to ensure software reliability.- **Training and Mentoring**: Provide training and mentorship to junior team members, helping to strengthen the team's overall performance and skills.**Required Skills and Expectations:**Candidates should hold a degree in B.A, B.Com, B.Sc, B.E, or a relevant professional degree. Strong problem-solving skills and the ability to think critically are essential. You should be proficient in programming languages such as Java, C#, or Python, and have experience with software design patterns and methodologies. Excellent communication skills are necessary for effective collaboration with team members and stakeholders. Additionally, familiarity with Agile development practices will be advantageous.

Key Responsibilities Model Development: Lead the design and development of quantitative data engineeringmodels, including algorithms, data pipelines, and data processing systems, to supportbusiness requirements. Data Processing: Develop and maintain data processing pipelines to ingest, clean,transform, and aggregate large volumes of data from various sources, ensuring dataquality and reliability. Algorithm Development: Design and implement algorithms for data analysis, machinelearning, and statistical modeling, using techniques such as regression analysis,clustering, and predictive modeling. Performance Optimization: Identify and implement optimizations to improve theperformance and efficiency of data processing and modeling algorithms, consideringfactors like scalability and resource utilization. Data Visualization: Create visualizations of data and model outputs to communicateinsights and findings to stakeholders. Data Quality Assurance: Implement data quality checks and validation processes toensure the accuracy, completeness, and consistency of data used in models andanalyses. Model Evaluation: Evaluate the performance of data engineering models using metricsand validation techniques, and iterate on models to improve their accuracy andeffectiveness. Collaboration: Collaborate with data scientists, analysts, and business stakeholders tounderstand requirements, develop models, and deliver insights that drive businessdecisions. Documentation: Document the design, implementation, and evaluation of dataengineering models, including assumptions, methodologies, and results, to ensurereproducibility and transparency. Continuous Learning: Stay updated with the latest trends, tools, and technologies inquantitative data engineering and data science, and continuously improve your skillsand knowledge.Desired Skills and Experience Data Engineering: Strong background in data engineering principles, including dataingestion, data processing, data transformation, and data storage, using tools andframeworks such as Apache Spark, Apache Flink, or AWS Glue. Quantitative Analysis: Proficiency in quantitative analysis techniques, includingstatistical modeling, machine learning, and data mining, with experience inimplementing algorithms for regression analysis, clustering, classification, and predictivemodeling. Programming Languages: Proficiency in programming languages commonly used fordata engineering and quantitative analysis, such as Python, R, Java, or Scala, as well asexperience with SQL for data querying and manipulation. Big Data Technologies: Familiarity with big data technologies and platforms, such asHadoop, Apache Kafka, Apache Hive, or AWS EMR, for processing and analyzing largevolumes of data. Data Visualization: Experience in data visualization techniques and tools, such asMatplotlib, Seaborn, or Tableau, for creating visualizations of data and model outputs tocommunicate insights effectively. Machine Learning Frameworks: Familiarity with machine learning frameworks andlibraries, such as PyTorch for implementing and deploying machine learning models. Cloud Computing: Experience with cloud computing platforms, such as AWS, Azure, orGoogle Cloud Platform, and proficiency in using cloud services for data engineering andmodel deployment. Software Development: Strong software development skills, including proficiency insoftware design patterns, version control systems (e.g., Git), and software testingframeworks, to develop robust and maintainable code. Problem-solving Skills: Excellent problem-solving skills, with the ability to analyzecomplex data engineering and quantitative analysis problems, identify solutions, andimplement them effectively. Communication and Collaboration: Strong communication and collaboration skills, withthe ability to work effectively with cross-functional teams, including data scientists,analysts, and business stakeholders, to understand requirements and deliver solutions. Domain Knowledge: Domain knowledge in areas such as finance, healthcare, ormarketing, depending on the industry, to understand the context and requirements ofdata engineering models in specific domains.Continuous Learning: A commitment to continuous learning and staying updated withthe latest trends, tools, and technologies in data engineering, quantitative analysis, andmachine learning.

Identifying valuable data sources.Developing and implementing data collection processes.Cleaning, transforming, and preparing data for analysis.Ensuring data quality and consistency.Visa charges applicableRequired Candidate profileDesigning and developing predictive models to forecast future outcomes.Building and optimizing machine learning algorithms.Evaluating model performance and making adjustments to improve accuracy.

We are seeking an experienced Senior Design Engineer to join our team in Greater Noida. The ideal candidate will have 8 to 10 years of relevant experience and a diploma in engineering. Key Responsibilities:- **Design Development**: Create and develop detailed design solutions for engineering projects, ensuring they meet functionality and performance standards.- **Collaboration**: Work closely with cross-functional teams, including production and quality assurance, to ensure designs can be efficiently manufactured and meet quality specifications.- **Technical Review**: Conduct thorough reviews of design concepts and make necessary revisions based on feedback, ensuring all designs are compliant with industry standards.- **Project Management**: Oversee multiple projects simultaneously, monitoring timelines and ensuring milestones are met while adhering to budget constraints.- **Documentation**: Maintain accurate records of design specifications, changes, and approvals, providing comprehensive documentation for each project.Required Skills and Expectations:The ideal candidate should possess strong technical skills in design software such as AutoCAD and SolidWorks. A solid understanding of materials and manufacturing processes is essential. Candidates should have excellent problem-solving abilities and be able to think critically to develop innovative design solutions. Strong communication skills are required to effectively collaborate with team members and stakeholders. A proactive approach towards project challenges and the ability to work independently in a fast-paced environment are key expectations for this role.

WE ARE HIRING ENGINEERPOST : SR DESIGN ENGINEEREDUCATION : BE MECHANICALEXPERIENCE : 5-8 YEAR LOCATION : MANJUSAR GIDC SALARY : 6-7 LPA WE ARE HIRING ENGINEERPOST : SR DESIGN ENGINEEREDUCATION : BE MECHANICALEXPERIENCE : 5-8 YEAR LOCATION : MANJUSAR GIDC SALARY : 6-7 LPA APPLY : tpo.vp2017@gmail.comCALL : 8306133342

Role: Senior Software Engineer / Lead Software EngineerDate: 2026/April/06Experience: 4-6 yearsOpen Positions: 2Joining Timeline: Immediate (within 10-15 days)Job Description:Arnest is looking for experienced full-stack developers with strong AI/ML implementation expertise.The ideal candidate will have a proven track record of designing, developing, and deploying scalableapplications integrated with advanced analytics and machine learning models.You will play a key role in building intelligent AI solutions, working across the stack-from datapipelines and model development to frontend dashboards and system deployment.

Job Title: Sr Design EngineerLocation: Sanand, AhmedabadDepartment: Design & EngineeringQualifications & Skills:Bachelors degree in Mechanical/Production/Industrial Engineering (preferred).5-8 years of experience in design engineering, preferably in automotive/engineering industry.Hands on experience in sheet metal and machined part design.Exposure to NPD processes and customer interactions.Roles and Responsibilities:1. Design & DevelopmentCreate and validate designs for sheet metal, fabrication, and machined components.Prepare 3D models, assemblies, and detailed drawings with GD&T.Ensure manufacturability and cost optimization in designs.2.Software ProficiencyWork with CAD tools such as SolidWorks, CATIA, Creo, AutoCAD, NX, or equivalent.Use simulation/analysis software for stress, thermal, and motion studies.Manage design data in PLM systems.3.NPD & InnovationSupport New Product Development projects from concept to production release.Collaborate with quality, production, and procurement teams during proto and pilot builds.Ensure APQP/PPAP documentation readiness.4. Customer & Supplier InteractionWork with customers to understand requirements and provide design solutions.Coordinate with suppliers for feasibility and manufacturability inputs.5. Team CollaborationMentor junior engineers and draftsmen.Promote design best practices and continuous improvement.If interested please share your updated resume on mahimaconsultancy05@gmail.com or Whatsaap on 9096446948.HR RecruiterMahima Consultancy.Contact : 9096446948www.mahimaconsultancy.com

Designation: Senior .Net DeveloperLocation: Delhi NCR / Remote/Work Mode: RemoteShift: UK Shift 1pm- 11 PMJob DescriptionQualifications/Experience: BTech (Comp Science)/BCA MTech (Comp Science)/MCA Experience: - 7+ Years of .Net framework, ASP.Net, MVC, Webforms Must have DevOps experience including CI/CD pipelines. Clear understand of web development life cycle. Understand of server side and client-side concepts Experience working in an Agile software development environment. Strong JavaScript experience including Bootstrap, HTML, and CSS In-depth knowledge of SQL Server databases Experience with test automation software (xUnit / NUnit / MSTest) Hands on object orientated programming knowledge and knowledge of softwarearchitectural patterns. Good understanding of SOLID development principles Good understanding of cloud-based architecture Track record of successful software delivery Excellent English communication skillsJob responsibilities Hands on experience with as many as possible of the following: ASP.NET,ASP.NET Core, C#, CSS, AWS cloud and associated technologies, Web andMicro services architecture, MSMQ, single sign-on design and implementation,object-oriented design patterns, RestFul API's and Webhooks, SQL Server Experience of working in a DevOps environment supporting and contributing toagile software delivery essential Must be able to work with GIT and MsAzure Devops Exposure to financial modelling, if possible Participate in peer code review, identify technical impacts, carry out debugging,enhance system performance, deliver clean and efficient code. Database knowledge including optimizing stored procedure and understandQuery Execution Plan Able to translate end user/stakeholder requirements into detailedtechnical/architectural specifications when appropriate and turn it int o robustsolutions. Strong experience of technical and architectural design with large-scale webapplications. In-depth understanding of non-functional requirements such as security andscalability. Proven ability to collaborate successfully with client and 3rd partytechnical teams.Roles & ResponsibilitiesAdditional responsibilities of the role Designing and developing applications in close consultation with SME's, BSA's,and clients Providing guidance and take the ownership on the overall technical architectureof the team's solutions, design decisions and principles Keeping abreast of the latest tools, techniques and best practice in softwareengineering and helping the team adopt best practice as appropriate Have a thirst to try and test latest technologies Producing functional, technical and design documentation where necessaryincluding the ownership of technical design and architectureAbout you Initiate with a 'can do' approach Can deliver independently Motivated self-starter, able to demonstrate genuine passion and drive Strong communication and interpersonal skills Ability to prioritise and juggle conflicting demands Can work and deliver under pressure Has the ambition to grow with the fintech organisation Consideration of internal and external constraints on projects Consideration of future requirements

Job Title: Senior Software Engineer (Full Stack)Experience: 4 - 6+ YearsEmployment Type: Full-time / Work from officeRole OverviewWe are looking for a highly skilled Senior Software Engineer (Full Stack) with strong expertise in full-stack development, hybrid applications, and microservices architecture.The ideal candidate should have solid experience in JavaScript core, frontend and backend development, and Flutter applications, along with a basic understanding of AI and automation. You will work on complex projects, collaborate with cross-functional teams, and contribute to building innovative and scalable solutions. Key Responsibilities Design, develop, and maintain scalable full-stack applications using JavaScript and related technologies Develop hybrid mobile applications using frameworks such as React Native or Angular Mobile Work on Flutter applications and integrate them with backend services Collaborate with frontend and backend teams to ensure seamless feature integration Build and maintain microservices-based architecture for scalability and performance Implement AI and automation solutions to improve application efficiency Participate in code reviews and maintain high coding standards Troubleshoot and resolve complex technical issues effectivelyRequired SkillsJavaScript Core Strong knowledge of JavaScript fundamentals including syntax, closures, prototypes, and asynchronous programmingHybrid Application Development Experience with frameworks like React Native, Angular Mobile, or similar technologiesFlutter Development Good understanding of Flutter framework and ecosystemFrontend Development Experience with HTML5, CSS3, React, Angular, or Vue.jsBackend Development Experience with Node.js, Express, or similar backend frameworksMicroservices Architecture Experience designing and implementing microservices-based systemsAI & Automation Basic understanding of AI and automation concepts with practical exposure to automation solutionsNice to Have Experience with Docker containerization and Kubernetes orchestration Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Familiarity with Agile development methodologies Experience with version control systems like Git

Job Description Senior Design EngineerDepartment: Design & EngineeringIndustry: Metal Manufacturing / Sheet Metal / FabricationJob PurposeTo lead and execute design activities for metal components and assemblies, optimize designs for manufacturability, and drive continuous improvement using AutoCAD and Kaizen methodologies.Key ResponsibilitiesCreate and review detailed AutoCAD drawings for metal parts and assemblies.Design sheet metal, fabrication, welding, and machined components.Lead design reviews and ensure manufacturability and cost optimization.Coordinate with production, quality, purchase, and sales teams.Handle customer drawings, RFQs, and technical discussions.Implement Kaizen initiatives to improve design efficiency, reduce waste, and optimize processes.Support tooling development, jigs, and fixtures.Guide and mentor junior design engineers.Ensure compliance with quality, safety, and industry standards.Required SkillsStrong proficiency in AutoCAD (2D & basic 3D preferred).In-depth knowledge of metal manufacturing processes.Strong understanding of GD&T, tolerances, and BOMs.Practical knowledge of Kaizen, lean manufacturing, and continuous improvement tools.Problem-solving and analytical skills.Leadership and team coordination skills.QualificationsBE / BTech in Mechanical or Production Engineering.Experience510 years in design engineering within the metal manufacturing industry.

Qualifications/Experience: BTech (Comp Science)/BCAMTech (Comp Science)/MCAExperience: - Minimum of 8+ Years of .Net framework, AP.Net, MVC, WebformsMust have DevOps experience including CI/CD pipelines.Clear understand of web development life cycle.Understand of server side and client-side conceptsExperience working in an Agile software development environment.Strong JavaScript experience including Bootstrap, HTML, and CSSIn-depth knowledge of SQL Server databasesExperience with test automation software (xUnit / NUnit / MSTest)Hands on object orientated programming knowledge and knowledge of software architectural patterns.Good understanding of SOLID development principlesGood understanding of cloud-based architectureTrack record of successful software deliveryExcellent English communication skillsJob responsibilitiesHands on experience with as many as possible of the following: ASP.NET, ASP.NET Core, C#, CSS, AWS cloud and associated technologies, Web and Micro services architecture, MSMQ, single sign-on design and implementation, object-oriented design patterns, RestFul API's and Webhooks, SQL Server Experience of working in a DevOps environment supporting and contributing to agile software delivery essentialMust be able to work with GIT and MsAzure DevopsExposure to financial modelling, if possibleParticipate in peer code review, identify technical impacts, carry out debugging, enhance system performance, deliver clean and efficient code.Database knowledge including optimizing stored procedure and understand Query Execution PlanAble to translate end user/stakeholder requirements into detailed technical/architectural specifications when appropriate and turn it into robust solutions.Strong experience of technical and architectural design with large-scale web applications.In-depth understanding of non-functional requirements such as security and scalability.Proven ability to collaborate successfully with client an

Key Responsibilities Model Development: Lead the design and development of quantitative data engineeringmodels, including algorithms, data pipelines, and data processing systems, to supportbusiness requirements. Data Processing: Develop and maintain data processing pipelines to ingest, clean,transform, and aggregate large volumes of data from various sources, ensuring dataquality and reliability. Algorithm Development: Design and implement algorithms for data analysis, machinelearning, and statistical modeling, using techniques such as regression analysis,clustering, and predictive modeling. Performance Optimization: Identify and implement optimizations to improve theperformance and efficiency of data processing and modeling algorithms, consideringfactors like scalability and resource utilization. Data Visualization: Create visualizations of data and model outputs to communicateinsights and findings to stakeholders. Data Quality Assurance: Implement data quality checks and validation processes toensure the accuracy, completeness, and consistency of data used in models andanalyses. Model Evaluation: Evaluate the performance of data engineering models using metricsand validation techniques, and iterate on models to improve their accuracy andeffectiveness. Collaboration: Collaborate with data scientists, analysts, and business stakeholders tounderstand requirements, develop models, and deliver insights that drive businessdecisions. Documentation: Document the design, implementation, and evaluation of dataengineering models, including assumptions, methodologies, and results, to ensurereproducibility and transparency. Continuous Learning: Stay updated with the latest trends, tools, and technologies inquantitative data engineering and data science, and continuously improve your skillsand knowledge.Desired Skills and Experience Data Engineering: Strong background in data engineering principles, including dataingestion, data processing, data transformation, and data storage, using tools andframeworks such as Apache Spark, Apache Flink, or AWS Glue. Quantitative Analysis: Proficiency in quantitative analysis techniques, includingstatistical modeling, machine learning, and data mining, with experience inimplementing algorithms for regression analysis, clustering, classification, and predictivemodeling. Programming Languages: Proficiency in programming languages commonly used fordata engineering and quantitative analysis, such as Python, R, Java, or Scala, as well asexperience with SQL for data querying and manipulation. Big Data Technologies: Familiarity with big data technologies and platforms, such asHadoop, Apache Kafka, Apache Hive, or AWS EMR, for processing and analyzing largevolumes of data. Data Visualization: Experience in data visualization techniques and tools, such asMatplotlib, Seaborn, or Tableau, for creating visualizations of data and model outputs tocommunicate insights effectively. Machine Learning Frameworks: Familiarity with machine learning frameworks andlibraries, such as PyTorch for implementing and deploying machine learning models. Cloud Computing: Experience with cloud computing platforms, such as AWS, Azure, orGoogle Cloud Platform, and proficiency in using cloud services for data engineering andmodel deployment. Software Development: Strong software development skills, including proficiency insoftware design patterns, version control systems (e.g., Git), and software testingframeworks, to develop robust and maintainable code. Problem-solving Skills: Excellent problem-solving skills, with the ability to analyzecomplex data engineering and quantitative analysis problems, identify solutions, andimplement them effectively. Communication and Collaboration: Strong communication and collaboration skills, withthe ability to work effectively with cross-functional teams, including data scientists,analysts, and business stakeholders, to understand requirements and deliver solutions. Domain Knowledge: Domain knowledge in areas such as finance, healthcare, ormarketing, depending on the industry, to understand the context and requirements ofdata engineering models in specific domains. Continuous Learning: A commitment to continuous learning and staying updated withthe latest trends, tools, and technologies in data engineering, quantitative analysis, andmachine learning.

Key Responsibilities Analyst Workflows: Design and development of company integrated content publishing platform using a proprietary 3rd party editorial and publishing platform for integrated digital publishing. Designing and Developing APIs: Design and development of robust, scalable, and secure APIs on AWS, considering factors like performance, reliability, and cost-efficiency. AWS Service Integration: Integrate APIs with various AWS services such as AWS Lambda, Amazon API Gateway, Amazon SQS, Amazon SNS, AWS Glue, and others, to build comprehensive and efficient solutions. Performance Optimization: Identify and implement optimizations to improve performance, scalability, and efficiency, leveraging AWS services and tools. Security and Compliance: Ensure APIs are developed following best security practices, including authentication, authorization, encryption, and compliance with relevant standards and regulations. Monitoring and Logging: Implement monitoring and logging solutions for APIs using AWS CloudWatch, AWS X-Ray, or similar tools, to ensure availability, performance, and reliability. Continuous Integration and Deployment (CI/CD): Establish and maintain CI/CD pipelines for API development, automating testing, deployment, and monitoring processes on AWS. Documentation and Training: Create and maintain comprehensive documentation for internal and external users, and provide training and support to developers and stakeholders. Team Collaboration: Collaborate effectively with cross-functional teams, including product managers, designers, and other developers, to deliver high-quality solutions that meet business requirements. Problem Solving: troubleshooting efforts, identifying root causes and implementing solutions to ensure system stability and performance. Stay Updated: Stay updated with the latest trends, tools, and technologies related to development on AWS, and continuously improve your skills and knowledge. Desired Skills and Experience Development: 5+ years of extensive experience in designing, developing, and deploying using modern technologies, with a focus on scalability, performance, and security. AWS Services: proficiency in using AWS services such as AWS Lambda, Amazon API Gateway, Amazon SQS, Amazon SNS, Amazon SES, Amazon RDS, Amazon DynamoDB, and others, to build and deploy API solutions. Programming Languages: Proficiency in programming languages commonly used for development, such as Python, Node.js, or others, as well as experience with serverless frameworks like AWS. Architecture Design: Ability to design scalable and resilient API architectures using microservices, serverless, or other modern architectural patterns, considering factors like performance, reliability, and cost-efficiency. Security: Strong understanding of security principles and best practices, including authentication, authorization, encryption, and compliance with standards like OAuth, OpenID Connect, and AWS IAM. DevOps Practices: Familiarity with DevOps practices and tools, including CI/CD pipelines, infrastructure as code (IaC), and automated testing, to ensure efficient and reliable deployment on AWS. Problem-solving Skills: Excellent problem-solving skills, with the ability to troubleshoot complex issues, identify root causes, and implement effective solutions to ensure the stability and performance. Communication Skills: Strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders, and collaborate with crossfunctional teams. Agile Methodologies: Experience working in Agile development environments, following practices like Scrum or Kanban, and ability to adapt to changing requirements and priorities. Continuous Learning: A commitment to continuous learning and staying updated with the latest trends, tools, and technologies related to development and AWS services. Bachelor's Degree: A bachelor's degree in Computer Science, Software Engineering, or a related field is often preferred, although equivalent experience and certifications can also be valuable.

Responsibilities Designing, developing, testing, troubleshooting, debugging, deploying,maintaining, documenting, and delivering large-scale, highly distributed, real-timedata platform. Using Java, object-oriented (OO) design patterns, NoSQL DBs, and datamodeling techniques. Recommending changes in development, maintenance, and system standards. Working in an agile development environment to deliver a high-quality product. Mentor junior software development engineers.Basic Qualifications Bachelors/Masters degree in computer science or a related field. 4+ years of experience in software development. Proficient in Core Java, with a good knowledge of Javas ecosystems. Proficient in multithreading in Java. Excellent problem-solving skills. Possess an extremely sound understanding of the basic areas of ComputerScience such as Algorithms, Data Structures. Strong OO programming and design skills with an understanding of commondesign patterns. Knowledge of professional software engineering practices & best practices forthe full software development life cycle, including coding standards, codereviews, source control management, continuous deployments, testing, andoperations. Candidate must have good written and oral communication skills, be a fastlearner, and have the ability to adapt quickly to a fast-paced developmentenvironment.Preferred Qualifications Experience building large-scale, fault-tolerant distributed systems. Familiarity with Big Data platforms and architecture, relational and no SQLdatabase concepts, solid knowledge of Hadoop, Spark, Hive, etc in general. Demonstrated ability to mentor junior software engineers in all aspects of theirengineering skill-sets.

Quality Engineer Responsibilities:Developing and implementing quality standards.Developing and implementing quality control systems.Monitoring and analyzing quality performance.Inspecting and testing materials, equipment, processes, and products to ensure quality specifications are met.Collaborating with operations managers to develop and implement controls and improvements.Ensuring that workflows, processes, and products comply with safety regulations.Investigating and troubleshooting product or production issues.Developing corrective actions, solutions, and improvements.