1555 Cloud Platforms Jobs - Page 5

Exclusive Walkin Drive for Senior Systems Engineer (AI) at Bangalore on 12th August 25 Greeting from Infosys BPM Ltd., You are kindly invited for the Infosys BPM:: Walk-In Drive on 12th August 25 at Bangalore(JP Nagar). Note: Please carry copy of this email to the venue and make sure you register your application before attending the walk-in. Please mention Candidate ID on top of the Resume https://career.infosys.com/jobdesc?jobReferenceCode=PROGEN-HRODIRECT-206442 Interview Information: Interview Date: 12 August 2025 Interview Time: 9 AM till 12 PM Interview Venue - Bangalore:: Infosys BPM Limited, #785,Ground Floor Axis Sai Jyoti, 15th Cross 100 Feet Road,Sarakki,1st Phase JP Nagar, Bengaluru, Karnataka560078 Landmark: Near Sindhoor Convention Centre Note: No Candidate parking facility available at JP Nagar recruitment center location. Documents to Carry: Please carry 2 set of updated CV (Hard Copy). Please carry Face Mask**. Mandatory to carry PAN or Passport for Identity proof. Job Description Job Title: Senior Systems Engineer Location: Infosys BPM - Bangalore(JP Nagar) Experience-2-3 Years Job Type-Full-Time About Us: Infosys BPM is a global leader in business process management, driving innovation and excellence in various industries. We are seeking a talented Senior Systems Engineer with 2- 3 yrs experience to join our dynamic team and contribute to the development and deployment of AI models. Job Description: Knowledge / Experience in AI Model Engineering Proficiency in programming languages such as Python or Java, or C++. Implement and maintain scalable systems for deploying and managing AI models. Develop and maintain infrastructure as code (IaC) using tools like Terraform, ARM templates, or Bicep. Monitor system performance, troubleshoot issues, and implement improvements to enhance reliability and efficiency. Stay up to date with the latest advancements in AI, cloud computing, and DevOps practices. Ensure security and compliance standards are met across all systems and deployments. Good to have UI/UX understanding / experience; Develop and maintain front-end applications to support AI model interfaces and user interactions. Design and implement backend data structures to support AI model training, deployment, and management. Automate deployment processes and workflows to streamline model updates and scaling. Qualifications: Proficiency in scripting languages such as Python, PowerShell, or Bash. Bachelor's degree in computer science, Engineering, or a related field. Proven experience as a Systems Engineer, DevOps Engineer, or similar role is desired Experience with infrastructure as code (IaC) tools like Terraform, ARM templates, or Bicep. Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub Actions, or Azure Pipelines. Problem-solving skills and the ability to work collaboratively in a team environment is desired Experience in front-end development using frameworks such as React, Angular, or Vue.js is desired Experience in backend data structuring and database management is desired Experience with AI/ML model deployment and management Preferred Qualifications: Certification in Microsoft Azure (e.g., Azure Solutions Architect, Azure DevOps Engineer). Understanding of security best practices in cloud environments. Benefits: Collaborative and inclusive work environment Competitive salary and performance-based bonuses. Comprehensive health insurance. Flexible work hours and remote work options. Professional development opportunities and support for certifications. Regards, Infosys BPM Recruitment team

We are looking for a talented Senior Software Engineer to join our team of developers and help us build cutting edge software solutions. You will be working on developing new features as well as maintaining existing ones in all areas of our product line. Were looking for someone who can work independently or collaboratively and has experience with object oriented programming languages like C# .Net, python, angular , SQL. If you enjoy solving complex problems, we want to hear from you! About The Role : Delivers end-to-end technical solutions for multiple products or complex projects Solves complex problems with minimal guidance Design, develop and test software systems and/or applications for enhancements and new products Writes code according to coding specifications established for software solutions. Delivers software features with exceptional quality, meeting designated release plans and delivery commitments. Develops software solutions by studying information needs, conferring with users, studying systems flow, data usage, and work processes; investigating problem areas; and following the software development lifecycle. Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code. Improves operations by conducting systems analysis and recommending changes in policies and procedures. Breaks down customer requirements/problems into for the team. Ability to clearly communicate technical concepts to stakeholders Stay up to date with industry trends, tools and technologies Utilize AI tools to optimize efficiency in all areas of software development. About You : 6+ years of experience in software development Bachelors degree in systems Engineering or similar. Proficient in C# .NET / JavaScript / Angular Experience with REST APIs and microservices Strong problem solving and analytical thinking Basic understanding of Python and AI Tools (Github Copilot, Cursor) Good written and verbal communication skills Knowledge of SCRUM Agile methodology Knowledge of cloud platforms such as AWS or Azure Understanding of CI/CD pipelines GitHub and ADO Strong problem-solving skills and attention to detail Ability to work independently and in a team environment Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Exclusive Walkin Drive for Devops Engineer (AI) at Bangalore on 12th August 25 Greeting from Infosys BPM Ltd., You are kindly invited for the Infosys BPM:: Walk-In Drive on 12th August 25 at Bangalore(JP Nagar). Note: Please carry copy of this email to the venue and make sure you register your application before attending the walk-in. Please mention Candidate ID on top of the Resume https://career.infosys.com/jobdesc?jobReferenceCode=PROGEN-HRODIRECT-206442 Interview Information: Interview Date: 12 August 2025 Interview Time: 9 AM till 12 PM Interview Venue - Bangalore:: Infosys BPM Limited, #785,Ground Floor Axis Sai Jyoti, 15th Cross 100 Feet Road,Sarakki,1st Phase JP Nagar, Bengaluru, Karnataka560078 Landmark: Near Sindhoor Convention Centre Note: No Candidate parking facility available at JP Nagar recruitment center location. Documents to Carry: Please carry 2 set of updated CV (Hard Copy). Please carry Face Mask**. Mandatory to carry PAN or Passport for Identity proof. Job Description Job Title: DevOps Engineer AI CoE (Cloud Platform: Azure/AWS/GCP) Experience: 2-3yrs Location: Bengaluru, Hyderabad, Pune(Interview location Bangalore) Department: DTS - AI Center of Excellence (CoE) Employment Type: Full-time About the Role: Join our dynamic AI Center of Excellence (CoE) as a DevOps Engineer , where you'll collaborate closely with product engineering teams to build, deploy, and scale AI-powered solutions. This role is ideal for early-career professionals passionate about cloud platforms, automation, and enabling AI innovation through robust DevOps practices. Key Responsibilities: Collaborate with AI product teams to design and maintain CI/CD pipelines for AI/ML models and applications. Automate infrastructure provisioning using tools like Terraform , ARM templates , or CloudFormation . Support containerization and orchestration of AI services using Docker and Kubernetes . Monitor and optimize cloud infrastructure performance across Azure , AWS , or GCP . Implement logging, monitoring, and alerting solutions to ensure system reliability and observability. Assist in managing secure, scalable, and cost-effective cloud environments for AI workloads. Contribute to internal DevOps best practices and documentation within the AI CoE. Required Skills & Qualifications: 2-3 years of hands-on experience in DevOps or Cloud Engineering. Exposure to at least one major cloud platform: Azure , AWS , or GCP . Familiarity with CI/CD tools such as GitHub Actions , Azure DevOps , GitLab CI , or Jenkins . Basic scripting skills in Python , Bash , or PowerShell . Understanding of containerization and orchestration concepts. Strong collaboration and communication skills, especially in cross-functional teams. Preferred Qualifications: Exposure to AI/ML model deployment or MLOps workflows. Experience with Infrastructure as Code (IaC) and configuration management tools. Cloud certifications (e.g., AZ-104, AWS Certified Developer, GCP Associate Cloud Engineer). Familiarity with Agile/Scrum methodologies. What Youll Gain: Opportunity to work on cutting-edge AI products and platforms. Mentorship from senior architects and DevOps leaders. Exposure to enterprise-grade AI deployment pipelines and cloud-native architectures. A collaborative, innovation-driven environment within the AI CoE. Regards, Infosys BPM Recruitment team

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Lead cloud transformation using RISE with SAP and Clean Core principles. Align enterprise architecture with business goals and value realization. Drive adoption of SAP BTP components and S/4HANA applications. Collaborate with CxOs to define success plans and monitor KPIs. Promote SAP best practices using LeanIX, Signavio, and Cloud ALM. Your Profile 916 years of experience designing and managing SAP landscapes within the RISE with SAP framework. Deliver system installations, upgrades, and migrations on leading cloud platforms. Ensure system availability, performance optimization, and disaster recovery preparedness. Implement security protocols, regulatory compliance, and governance across hybrid environments. Lead BASIS operations and mentor teams for strategic, value-driven delivery. What you"ll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. At Capgemini, you can work oncutting-edge projectsin tech and engineering with industry leaders or createsolutionsto overcome societal and environmental challenges. Location - Bengaluru,Chennai,Gurugram,Hyderabad,Kolkata,Mumbai,Noida,Pune

Your Role Drive the strategic vision for AI/ML initiatives and align them with the companys broader AI roadmap. Lead cross-functional teams including data scientists, ML engineers, and architects to deliver scalable AI solutions. Translate complex technical insights into actionable business strategies and communicate them effectively to stakeholders. Oversee the full lifecycle of AI/ML projects, leveraging LLMs and generative AI to build innovative, data-driven applications. Ensure high standards of data quality, model performance, and system reliability while staying current with emerging AI trends. Your Profile Over 10 years of experience in data science with a Masters/PhD from a Tier 1 institute, specializing in AI/ML model development and deployment. Expertise in machine learning, deep learning, NLP (including LLMs like GPT, BERT, Gemini), and big data frameworks like Spark/Hadoop. Skilled in Python, R, and deep learning libraries (TensorFlow, PyTorch, Keras), with hands-on experience in cloud platforms (AWS, GCP, Azure). Strong leadership in managing data science teams and implementing MLOps practices for scalable model delivery. Excellent communication, cross-functional collaboration, and deep understanding of data privacy, security, and agile methodologies. What You Will Love Working at Capgemini Work on cutting-edge AI/ML solutions using deep learning, NLP, and LLMs like GPT, BERT, and Gemini across cloud platforms (AWS, GCP, Azure). Lead and mentor data science teams to deliver scalable, secure, and production-ready models using MLOps best practices. Clear career progression paths from engineering roles to architecture and consulting. Be part of mission-critical projects that ensure security, compliance, and operational efficiency for Fortune 500 clients.

As a key member of our Data Science team, you will be responsible for developing innovative AI ML solutions across diverse business domains This includes designing, implementing, and optimizing advanced analytics models to address complex business challenges and drive data-driven decision making Your core responsibility will be to extract actionable insights from large datasets, develop predictive algorithms, and create robust machine learning pipelines You will collaborate closely with cross-functional teams including business analysts, software engineers, and product managers to understand business requirements, define problem statements, and deliver scalable solutions Additionally, you'll be expected to stay current with emerging technologies and methodologies in the AI/ML landscape to ensure our technical approaches remain cutting-edge and effective Desired Skills and experience Demonstrated expertise in applying advanced statistical modeling, machine learning algorithms, and deep learning techniques. Proficiency in programming languages such as Python data analysis and model development. Proficiency in cloud platforms, such as Azure, Azure Data Factory, Snowflake, Databricks. Experience with data manipulation, cleaning, and preprocessing using pandas, NumPy, or equivalent libraries. Strong knowledge of SQL and experience working with various database systems and big data technologies. Proven track record of developing and deploying machine learning models in production environments. Experience with version control systems (e.g., Git) and collaborative development practices. Proficiency with visualization tools and libraries such as Matplotlib, Seaborn, Tableau, or PowerBI. Strong mathematics background including statistics, probability, linear algebra, and calculus. Excellent communication skills with ability to translate technical concepts to non-technical stakeholders. Experience working in cross-functional teams and managing projects through the full data science lifecycle. Knowledge of ethical considerations in AI development including bias detection and mitigation techniques. Key Responsibilities Analyze complex datasets to extract meaningful insights and patterns using statistical methods and machine learning techniques. Design, develop and implement advanced machine learning models and algorithms to solve business problems and drive data-driven decision making. Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance and accuracy. Create and maintain data processing pipelines for efficient data collection, cleaning, transformation, and integration. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Evaluate model performance using appropriate metrics and validation techniques to ensure reliability and robustness. Present findings, visualizations, and recommendations to stakeholders in clear, accessible formats tailored to technical and non-technical audiences. Stay current with the latest advancements in machine learning, deep learning, and statistical methods through continuous learning and research. Develop proof-of-concept applications to demonstrate the value and feasibility of data science solutions. Implement A/B testing and experimental design methodologies to validate hypotheses and measure the impact of implemented solutions. Document methodologies, procedures, and results thoroughly to ensure reproducibility and knowledge transfer within the organization.

leading IT operations, cloud IT & Broadcast Tech across media, VFX Proven ability to manage cross-functional teams implement security-compliant infrastructure deliver high-availability on AWS Azure hybrid Adept at automation configuration management

Role & responsibilities Microsoft AI tools and services, Agentic AI paradigms ,including autonomous agents, multi-agent systems, and AI orchestration frameworks. Experience with cloud platforms (Azure preferred). Knowledge of MLOps practices and tools.

Join us at Seismic, a cutting-edge technology company leading the way in the SaaS industry We specialize in delivering modern, scalable, and multi-cloud solutions that empower businesses to succeed in today's digital era Leveraging the latest advancements in technology, including Generative AI, we are committed to driving innovation and transforming the way businesses operate As we embark on an exciting journey of growth and expansion, we are seeking top engineering talent to join our AI team in Hyderabad, India, As an Engineer II, you will play a crucial role in developing and optimizing backend systems that power our web application, including content discovery, knowledge management, learning and coaching, meeting intelligence and various AI capabilities You will collaborate with cross-functional teams to design, build, and maintain scalable, high-performance systems that deliver exceptional value to our customers This position offers a unique opportunity to make a significant impact on our company's growth and success by contributing to the technical excellence and innovation of our software solutions, If you are a passionate technologist with a strong track record of building AI products, and you thrive in a fast-paced, innovative environment, we want to hear from you! Seismic AI AI is one of the fastest growing product areas in Seismic We believe that AI, particularly Generative AI, will empower and transform how Enterprise sales and marketing organizations operate and interact with customers Seismic Aura, our leading AI engine, is powering this change in the sales enablement space and is being infused across the Seismic enablement cloud Our focus is to leverage AI across the Seismic platform to make our customers more productive and efficient in their day-to-day tasks, and to drive more successful sales outcomes, Why Join Us Opportunity to be a key technical leader in a rapidly growing company and drive innovation in the SaaS industry, Work with cutting-edge technologies and be at the forefront of AI advancements, Competitive compensation package, including salary, bonus, and equity options, A supportive, inclusive work culture, Professional development opportunities and career growth potential in a dynamic and collaborative environment, At Seismic, were committed to providing benefits and perks for the whole self To explore our benefits available in each country, please visit the Global Benefits page, Please be aware we have noticed an increase in hiring scams potentially targeting Seismic candidates Read our full statement on our Careers page, Seismic is the global leader in AI-powered enablement, empowering go-to-market leaders to drive strategic growth and deliver exceptional customer experiences at scale The Seismic Enablement Cloud?is the only unified AI-powered platform that prepares customer-facing teams with the skills, content, tools, and insights needed to maximize every buyer interaction and strengthen client relationships Trusted by more than 2,000 organizations worldwide, Seismic helps businesses achieve measurable outcomes and accelerate revenue growth Seismic is headquartered in San Diego with offices across North America, Europe, Asia and Australia Learn more at seismic , Seismic is committed to building an inclusive workplace that ignites growth for our employees and creates a culture of belonging that allows all employees to be seen and valued for who they are Learn more about DEI at Seismic here, Distributed Systems Development: Design, develop, and maintain backend systems and services for AI, information extraction or information retrieval functionality, ensuring high performance, scalability, and reliability, Integration: Collaborate with data scientists, AI engineers, and product teams to integrate AI-driven capabilities across the Seismic platform, Performance Tuning: Monitor and optimize service performance, addressing bottlenecks and ensuring low-latency query responses, Technical Leadership: Provide technical guidance and mentorship to junior engineers, promoting best practices in software backend development, Collaboration: Work closely with cross-functional and geographically distributed teams, including product managers, frontend engineers, and UX designers, to deliver seamless and intuitive experiences, Continuous Improvement: Stay updated with the latest trends and advancements in software and technologies, conducting research and experimentation to drive innovation, Experience: 2+ years of experience in software engineering and a proven track record of building and scaling microservices and working with data retrieval systems, Technical Expertise: Experience with C# and Dot net, unit testing, object-oriented programming, and relational databases Experience with Infrastructure as Code (Terraform, Pulumi, etc), event driven architectures with tools like Kafka, feature management (Launch Darkly) is good to have Front-end/full stack experience a plus, Cloud Expertise: Experience with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure Knowledge of cloud-native services for AI/ML, data storage, and processing Experience deploying containerized applications into Kubernetes is a plus, AI: Proficiency in building and deploying Generative AI use cases is a plus Experience with Natural Language Processing (NLP) Semantic search with platforms like ElasticSearch is a plus, SaaS Knowledge: Extensive experience in SaaS application development and cloud technologies, with a deep understanding of modern distributed systems and cloud operational infrastructure, Product Development: Experience in collaborating with product management and design, with the ability to translate business requirements into technical solutions that drive successful delivery Proven record of driving feature development from concept to launch, Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field, Fast-paced Environment: Experience working in a fast-paced, dynamic environment, preferably in a SaaS or technology-driven company, If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please click here, Headquartered in San Diego and with employees across the globe, Seismic is the global leader in sales enablement, backed by firms such as Permira, Ameriprise Financial, EDBI, Lightspeed Venture Partners, and T Rowe Price Seismic also expanded its team and product portfolio with the strategic acquisitions of SAVO, Percolate, Grapevine6, and Lessonly Our board of directors is composed of several industry luminaries including John Thompson, former Chairman of the Board for Microsoft, Seismic is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, age, race, religion, or any other classification which is protected by applicable law, Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job Duties, responsibilities and activities may change at any time with or without notice, Show

Intrested candidate can apply on career.proplegit.com About the Role: We are looking for an experienced Product Manager with a deep understanding of loan processes (BFSI sector) and real estate industry to aid (?) the development and enhancement of our financial and real estate technology solutions. The ideal candidate will bridge the gap between business, engineering (technical side), and regulatory compliance, ensuring our products align with industry standards and customer needs. Key Responsibilities: Product Strategy & Roadmap: Define and execute the product roadmap for financial lending and real estate solutions. Conduct market research, competitor analysis, and user feedback sessions to identify product gaps and opportunities. Ensure compliance with regulatory requirements, including RBI, NPCI, and other relevant legal frameworks. Legal Loan Process Expertise: Work closely with legal, compliance, and risk teams to integrate loan approval workflows into the product. Optimize the underwriting and risk assessment processes within the product. Ensure smooth automation of loan origination, disbursement, and foreclosure processes. Upgrade service offerings for loan portfolio management: Work with key stakeholders to develop / upgrade products / service offerings related to loan application process for both pre-disbursement and post-disbursement phases. Collaborate with financial institutions, Banks, NBFCs and real estate firms to streamline loan processes and property management life cycle solutions. Cross-functional Collaboration: Partner with engineering, UI/UX, data analytics, and operations teams to drive product development/upgradation. Work with sales and marketing teams to create product positioning and go-to-market strategies. Coordinate with external vendors and legal advisors to ensure compliance and security in real estate and loan processing life cycle. Customer-Centric Approach: Gather and analyze customer feedback to enhance product features. Develop user-friendly digital lending and property transaction experiences. Ensure seamless integration of APIs with banking and real estate management systems. Experience & Skills: 5+ years of experience in product management, preferably in fintech, Banks/NBFCs, real estate technology firms, or lending solutions. Strong understanding of legal loan processing, including loan origination, underwriting, foreclosure, and compliance. Knowledge of real estate transactions, property valuation, and title verification is an added advantage. Familiarity with regulatory frameworks such as RBI, NPCI, land registration laws, and real estate compliance. Excellent project management, analytical, and problem-solving skills. Strong ability to communicate technical concepts to business stakeholders. Prior experience in AI/ML-based risk assessment models for loan approvals. Hands-on experience with APIs, SaaS solutions, or cloud-based financial platforms.

We are looking for a seasoned Team Lead to oversee a Team of Java ull Stack Developers in Mumbai. this role requires strong technical expertise, leadership skills and the ability to drive cross-functional collaboration. the ideal candidate will guide the team in delivering scalable, high performance solutions while mentoring and fostering growth. Role & responsibilities Lead and Manage a team of Java Full Stack Developers Oversee project planning execution and delivery Collaborate with stakeholders to define technical requirements and priorities Ensure adherence to coding standards best practices and quality benchmarks Conduct code reviews and provide technical guidance Facilitate team development and performance evaluations Drive innovation and continuous improvement across projects Preferred candidate profile Experience in software development with a focus on java Full Stack Strong proficiency in java, spring boot, restful api's. Experience with front end technologies such as Reactjs or Angular Proven track record of leading development teams and delivering successful projects Solid understanding of cloud platforms (AWS, Azure, GCP), CI/CD and DevOps practices. Excellent communication, problem solving and organization skills. Interested candidates may forward their resume's to careers@alliedglobetech.com

Roles and Responsibility The Senior Tech Lead - Databricks leads the design, development, and implementation of advanced data solutions. Has To have extensive experience in Databricks, cloud platforms, and data engineering, with a proven ability to lead teams and deliver complex projects. Responsibilities: Lead the design and implementation of Databricks-based data solutions. Architect and optimize data pipelines for batch and streaming data. Provide technical leadership and mentorship to a team of data engineers. Collaborate with stakeholders to define project requirements and deliverables. Ensure best practices in data security, governance, and compliance. Troubleshoot and resolve complex technical issues in Databricks environments. Stay updated on the latest Databricks features and industry trends. Key Technical Skills & Responsibilities Experience in data engineering using Databricks or Apache Spark-based platforms. Proven track record of building and optimizing ETL/ELT pipelines for batch and streaming data ingestion. Hands-on experience with Azure services such as Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse Analytics, or Azure SQL Data Warehouse. Proficiency in programming languages such as Python, Scala, SQL for data processing and transformation. Expertise in Spark (PySpark, Spark SQL, or Scala) and Databricks notebooks for large-scale data processing. Familiarity with Delta Lake, Delta Live Tables, and medallion architecture for data lakehouse implementations. Experience with orchestration tools like Azure Data Factory or Databricks Jobs for scheduling and automation. Design and implement the Azure key vault and scoped credentials. Knowledge of Git for source control and CI/CD integration for Databricks workflows, cost optimization, performance tuning. Familiarity with Unity Catalog, RBAC, or enterprise-level Databricks setups. Ability to create reusable components, templates, and documentation to standardize data engineering workflows is a plus. Ability to define best practices, support multiple projects, and sometimes mentor junior engineers is a plus. Must have experience of working with streaming data sources and Kafka (preferred) Eligibility Criteria: Bachelors degree in Computer Science, Data Engineering, or a related field Extensive experience with Databricks, Delta Lake, PySpark, and SQL Databricks certification (e.g., Certified Data Engineer Professional) Experience with machine learning and AI integration in Databricks Strong understanding of cloud platforms (AWS, Azure, or GCP) Proven leadership experience in managing technical teams Excellent problem-solving and communication skills Our Offering Global cutting-edge IT projects that shape the future of digital and have a positive impact on environment. Wellbeing programs & work-life balance - integration and passion sharing events. Attractive Salary and Company Initiative Benefits Courses and conferences Attractive Salary Hybrid work culture

Your Position You will work as a Data Engineer with Machine Learning expertise in the Predictive Maintenance team. This hybrid and multi-cultural team includes Data Scientists, Machine Learning Engineers, Data Engineers, a DevOps Engineer, a QA Engineer, an Architect, a UX Designer, a Scrum Master, and a Product Owner. The Digital Service Platform focuses on optimizing customer asset usage and maintenance, impacting performance, cost, and sustainability KPIs by extending component lifetimes. In your role, you will: Participate in solution design discussions led by our Product Architect, where your input as a Data Engineer with ML expertise is highly valued. Collaborate with IT and business SMEs to ensure delivery of high-quality end-to-end data and machine learning pipelines. Your Responsibilities Data Engineering Develop, test, and document data (collection and processing) pipelines for Predictive Maintenance solutions, including data from (IoT) sensors and control components to our data platform. Build scalable pipelines to transform, aggregate, and make data available for machine learning models. Align implementation efforts with other back-end developers across multiple development teams. Machine Learning Integration Collaborate with Data Scientists to integrate machine learning models into production pipelines, ensuring smooth deployment and scalability. Develop and optimize end-to-end machine learning pipelines (MLOps) from data preparation to model deployment and monitoring. Work on model inference pipelines, ensuring efficient real-time predictions from deployed models. Implement automated retraining workflows and ensure version control for datasets and models. Continuous Improvement Contribute to the design and build of a CI/CD pipeline , including integration test automation for data and ML pipelines. Continuously improve and standardize data and ML services for customer sites to reduce project delivery time. Actively monitor model performance and ensure timely updates or retraining as needed. Your Profile Minimum 4 years' experience building complex data pipelines and integrating machine learning solutions. Bachelor's or Master's degree in Computer Science, IT, Data Science, or equivalent. Hands-on experience with data modeling and machine learning workflows . Strong programming skills in Java , Scala , and Python (preferred for ML tasks). Experience with stream processing frameworks (e.g., Spark) and streaming storage (e.g., Kafka). Proven experience with MLOps practices, including data preprocessing, model deployment, and monitoring. Familiarity with ML frameworks and tools (e.g., TensorFlow, PyTorch, MLflow). Proficient in cloud platforms (preferably Azure and Databricks). Experience with data quality management , monitoring, and ensuring robust pipelines. Knowledge of Predictive Maintenance model development is a strong plus. What Youll Gain Opportunity to work at the forefront of data-driven innovation in a global organization. Collaborate with a talented and diverse team to design and implement cutting-edge solutions. Expand your expertise in data engineering and machine learning in a real-world industrial setting. If you are passionate about leveraging data and machine learning to drive innovation, wed love to hear from you!

Role Overview: A Senior Software Engineer experienced in Java and SpringBoot along with knowledge and exposure in building or working with API Gateway solutions. About the Role: Design, develop, and maintain backend services and APIs using Java and Spring. Collaborate with front-end developers and other team members to integrate user-facing elements with server-side logic. Implement and maintain microservices architectures that are scalable, reliable, and efficient. Optimize application performance, focusing on speed and scalability. Write clean, maintainable, and testable code, following best practices for software development. Participate in code reviews to maintain code quality and share knowledge with the team. Troubleshoot and resolve issues in a timely manner, ensuring the stability and reliability of the backend systems. Stay up-to-date with the latest industry trends and technologies to continuously improve our systems. About You: Bachelors degree in Computer Science, Engineering, or a related field. 7+ years of experience in backend development, with a focus on Java. Proficiency in Java programming and the Spring Framework. Experience with RESTful services, SQL databases, and microservices architecture. Strong understanding of version control systems like Git. Experience with unit testing and test-driven development. Excellent problem-solving skills and attention to detail. Good to have: Experience of cloud (desirable AWS) and familiarity with other cloud platforms like GCP or Azure is a plus. Experience of API Gateway development and capabilities (AWS API Gateway desirable). This will include configuring the gateway as well as undertaking development work to integrate with other enterprise key functionality (e.g. identity). In addition the capability to configure and define API's to empower throttling, monetisation, authentication and transformation. Experience in API standards and best practice. Desirably to have Open API experience as well as the use of Swagger. Ability to work in a centralised team and provide best practice advice and guidance to product development teams. Company Benefits and Perks: We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement

We are seeking a highly skilled and experienced Senior Data Scientist to join KVC Consultants Ltd. In this role, you'll focus on developing and implementing advanced data science and machine learning models to support our clients business needs. This position emphasizes hands-on technical work, independent execution toward defined goals, and collaboration with other data scientists and engineers to create innovative data solutions. Roles and Responsibilities: Data Science & Model Development: Develop and implement advanced data science and machine learning models. Data Preparation & Feature Engineering: Prepare and engineer data effectively for model development. Model Evaluation and Tuning: Evaluate and tune models to achieve optimal performance. NLP & Advanced Frameworks: Apply Natural Language Processing (NLP) techniques and work with advanced frameworks. Collaboration & Communication: Work independently while collaborating with other data scientists and engineers, effectively communicating complex concepts. API Development & Integration: Develop and integrate APIs for data solutions. Continuous Learning & Improvement: Continuously learn and contribute to collective knowledge and innovation efforts. Required Candidate Profile: Experience: 3+ years of experience in data science and machine learning. Programming & Tools: Proficient in Python, Git , and coding IDEs like VS Code or PyCharm . Machine Learning & Deep Learning: Strong knowledge of traditional machine learning algorithms, deep learning, and advanced hyper-parameter tuning. NLP: Proficiency with NLP techniques and experience with NLP projects on production . LLM Finetuning and Quantization: Experience with Large Language Model (LLM) finetuning and quantization. Edge Deployment: Experience with Edge Deployment. MLOps & Deployment: Experience with MLOps basics, containerization tools (Docker, Kubernetes) , and cloud platforms (AWS, Azure, Google Cloud) . QUALIFICATION: Bachelor's or Master's degree in a relevant field (Computer Science, Data Science, Statistics, etc.).

As an Integration Developer, you will be responsible for designing and implementing integration solutions using MuleSoft Anypoint Platform for various enterprise applications, including ERP, CRM, and third-party systems. You will develop and manage APIs using MuleSoft's API Gateway, ensuring best practices for API design, security, and monitoring. Additionally, you will deploy and monitor MuleSoft applications using Anypoint Studio and Anypoint Management Console. Your role will involve utilizing MuleSoft's DataWeave to transform data between various formats such as XML, JSON, and CSV as part of integration solutions. You will provide support in troubleshooting and resolving integration issues to ensure that the solutions are robust and scalable. Collaboration with other developers, business analysts, and stakeholders will be essential to gather requirements and implement integration solutions effectively. Creating and maintaining technical documentation for the integration solutions, including API specifications, integration architecture, and deployment processes will be part of your responsibilities. You will also ensure that the integrations follow industry best practices and MuleSoft's guidelines for designing and implementing scalable and secure solutions. To be successful in this role, you should have a Bachelor's degree in computer science, Information Technology, or a related field, along with a minimum of 3 years of experience in MuleSoft development and integration projects. Proficiency in MuleSoft Anypoint Platform, API design and management, and DataWeave for data transformation is required. Hands-on experience with integration patterns and technologies such as JMS, HTTP/HTTPS, File, Database, and Cloud integrations is essential. Experience with CI/CD pipelines and deployment tools like Jenkins, Git, and Maven, as well as a good understanding of cloud platforms (AWS, Azure, or GCP) and how MuleSoft integrates with cloud services, will be beneficial. Your excellent troubleshooting and problem-solving skills, strong communication abilities, and the capacity to work effectively in a team environment will be critical for success in this role.,

We are seeking an experienced Full Stack Developer to join our team and contribute to the development and maintenance of secure and scalable applications. As the ideal candidate, you should have practical knowledge of both front-end and back-end technologies, with a focus on React and Python. Your primary responsibilities will involve collaborating with the team to create and optimize web applications that can efficiently handle large-scale data and AI-driven solutions. Your duties will include developing and maintaining web applications using React for the frontend, Python for the backend, and integrating AI/ML solutions. You will be tasked with designing, constructing, and enhancing scalable backend systems, as well as working with event streaming technologies to manage substantial data, including videos and images. Ensuring application performance, quality, and responsiveness, troubleshooting and debugging to optimize performance, and writing clean, maintainable, and scalable code will also be part of your role. Additionally, you will collaborate with the DevOps team on deploying, monitoring, and maintaining applications. To qualify for this position, you should possess a Bachelor's degree in Computer Science, Engineering, or a related field, along with a minimum of 3 years of experience as a Full Stack Developer. Proficiency in React for the frontend, Python for the backend, experience with event streaming technologies, and knowledge of backend system design and development are essential. Familiarity with databases, APIs, cloud platforms, version control, CI/CD pipelines, and strong problem-solving and debugging skills are also required. Preferred qualifications include experience with AI/ML frameworks and integrations, real-time data processing, microservices architecture, and containerization technologies. If you are looking to work in a fast-paced environment, collaborate effectively with cross-functional teams, and contribute to the development of cutting-edge applications, we encourage you to apply for this exciting opportunity.,

You should have a Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field. With over 5 years of experience in AI/ML solution design and development, you must possess proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Strong programming skills in Python, R, or Java are essential for this role. Hands-on experience with cloud platforms like AWS, Azure, and GCP is required. A solid understanding of data engineering concepts and tools such as Spark, Hadoop, and Kafka is expected. Experience with MLOps practices, including CI/CD for AI models, is a plus. Strong problem-solving, communication, and leadership skills are crucial for success in this position. Preferred qualifications include AI/ML certifications like AWS Certified Machine Learning, Google Professional ML Engineer, etc. Experience in natural language processing (NLP) or computer vision would be beneficial. Knowledge of AI governance and ethical AI practices, as well as familiarity with AI model explainability and bias detection, are also desired qualities for this role.,

As a Data Analyst with 2 to 8 years of experience, you will be based in Bangalore and will have the following responsibilities: - Demonstrating strong proficiency in SQL, Python, and Excel, along with the ability to adapt and learn other Analytics tools as required. - Building and optimizing Data Pipelines on popular Cloud Platforms. - Automation of Data extraction and insertion processes to Management Information Systems (MIS) using Python. - Extracting actionable insights from analysis results. - Possessing attention to detail, a strong data orientation, and a commitment to creating clean and reproducible code. - Showing a genuine passion for collaboration, along with exceptional interpersonal and communication skills. Good to have skills: - Experience with tools like Google Big Query, Meta base, Clever Tap, Google Data Studio, Firebase/Google Analytics. - Proficiency in Visualization Tools such as Google Data Studio, Tableau, etc. - Hands-on experience with ETL/ELT Pipelines and Data flow setups.,

Application Development & Enhancement (if Development-focused): Participate in the full software development lifecycle (SDLC), including requirements gathering, design, coding, testing, and deployment of new features and functionalities for [mention specific application/platform]. Write clean, efficient, and well-documented code in [mention programming languages, e.g., Java, Python, .NET, JavaScript]. Collaborate with senior developers and architects to understand technical designs and implement solutions. Conduct code reviews and ensure adherence to coding standards and best practices. Application Support & Troubleshooting (if Support-focused): Provide timely and effective technical support for [mention specific application/platform] to end-users, troubleshooting issues reported via [e.g., ticketing system, email, phone]. Diagnose and resolve application errors, performance issues, and user queries. Escalate complex issues to senior team members or relevant development teams and track them to resolution. Maintain detailed records of support requests and resolutions in a ticketing system. Application Implementation & Configuration (if Implementation-focused): Assist in the configuration, customization, and deployment of [mention specific application/platform] for new projects or clients. Participate in user acceptance testing (UAT) and gather feedback from stakeholders. Provide training and documentation to end-users on application usage and new features. Work with clients or internal departments to understand their business processes and translate them into application configurations. Application Maintenance & Optimization (if Maintenance-focused): Perform regular maintenance tasks, including system monitoring, data integrity checks, and patch management for [mention specific application/platform]. Identify and implement performance optimizations and improvements to ensure application stability and efficiency. Conduct root cause analysis for recurring issues and implement preventive measures. Ensure proper backups and disaster recovery procedures are in place. Documentation & Knowledge Sharing: Create and maintain technical documentation, user manuals, knowledge base articles, and standard operating procedures (SOPs) related to the application. Share knowledge and best practices with team members to foster continuous learning. Collaboration & Communication: Actively participate in team meetings, stand-ups, and discussions. Communicate effectively with cross-functional teams (e.g., QA, infrastructure, project management, business users) to ensure seamless project execution and issue resolution. Provide regular updates on progress, challenges, and solutions.

You will be leading the architecture, design, and development of scalable, secure, and high-performance software systems. Your responsibilities will include defining and driving software architecture decisions, collaborating with stakeholders to understand project requirements, designing system architecture, conducting code reviews, and mentoring developers to ensure adherence to architectural principles. Additionally, you will be responsible for performance tuning, keeping up to date with the latest trends in software architecture, guiding technology selection, and leading technical discussions and workshops to establish best practices. To qualify for this role, you should have at least 7+ years of industry experience in building large-scale software applications, along with a degree in Computer Science, Engineering, or a related field. You must also have proven experience as a Software Architect or in a senior software engineering role with architectural responsibilities. Strong understanding of software development methodologies, expertise in designing and deploying distributed applications, experience with cloud platforms, RESTful APIs, Angular/REACT, Java Script, and proficiency in multiple programming languages and frameworks are essential. Deep knowledge of software design patterns, excellent problem-solving skills, and strong leadership and communication abilities will be crucial for success in this role. Preferred qualifications include experience with microservices architecture, DevOps practices, CI/CD pipelines, databases, caching, message queuing systems, and professional certifications.,

You will be working as a skilled and innovative Backend Developer for Arbelos Solutions, a world-class tech start-up specializing in OSS/BSS solutions, software & web development, enterprise solutions, mobile app development, digital marketing & transformation, and business support systems. Your primary responsibility will be to contribute to the development of modern web applications using C# microservices. Your responsibilities will include designing, developing, and maintaining C# microservices that power web applications, collaborating with product, design, and frontend teams to translate requirements into technical solutions, writing clean and well-documented code following industry best practices, participating in code reviews, and providing feedback. You will also implement and optimize RESTful APIs, work with DevOps CI/CD pipelines for deployment and monitoring, and continuously improve system performance, reliability, and security. To qualify for this role, you should have a Bachelor's/Master's degree in computer science, engineering, or a related field, or equivalent practical experience. You must have a minimum of 5-8 years of experience as a Backend Developer, preferably with C# and microservices. Proficiency in C#, .NET Core, RESTful APIs, GIT, DevOps, CI/CD pipelines, test automation, and familiarity with cloud platforms such as AWS, GCP, and Microsoft Azure is required. Experience with containerization and orchestration tools like Docker will be a plus. If you are passionate about building scalable, reliable, and high-performing systems and want to work in a fast-paced tech start-up environment, please share your profiles at m.karra@arbelosgroup.com.,

We are looking for a skilled MLOps Engineer with 2-3 years of experience to join our team. As an MLOps Engineer, you will collaborate with data scientists, software engineers, and IT teams to ensure smooth deployment, scaling, and monitoring of machine learning models. Your responsibilities will include designing, developing, and maintaining automated pipelines for continuous integration and deployment (CI/CD) of machine learning models. You will manage model versioning, deployment, and monitoring in production environments and optimize the performance and scalability of machine learning models post-deployment. Collaboration with data science teams will be essential to improve model reproducibility, experiment tracking, and data workflows. You will implement monitoring, alerting, and logging solutions to ensure model performance and detect anomalies in production. Managing and scaling infrastructure required for model training and inference, whether on-premise or cloud, will be part of your daily tasks. Working closely with DevOps teams to integrate MLOps practices seamlessly into existing development workflows is also a key responsibility. Implementing security and compliance practices for AI/ML pipelines, including data governance, will be crucial. Troubleshooting issues in production environments and ensuring high availability of models will also be part of your role. Qualifications: - Education: Bachelor's degree in Computer Science, Engineering, or a related field. - Experience: 2-3 years of hands-on experience in MLOps, DevOps, or related fields. - Experience with machine learning lifecycle management tools such as MLflow, Kubeflow, or TFX. - Strong knowledge of cloud platforms such as AWS, Google Cloud, or Azure (experience in setting up AI/ML services is a plus). - Proficiency in scripting and automation (Python, Bash, etc.). - Experience with containerization (Docker) and orchestration tools (Kubernetes). - Familiarity with CI/CD tools like Jenkins, CircleCI, or GitLab CI for deploying machine learning models. - Knowledge of version control systems (e.g., Git) and infrastructure-as-code (e.g., Terraform, CloudFormation). - Understanding of monitoring and logging frameworks (e.g., Prometheus, Grafana, ELK stack). - Familiarity with data engineering tools (e.g., Apache Airflow, Kafka) is a plus.,

Genpact is a global professional services and solutions firm focused on delivering outcomes that shape the future. With a team of over 125,000 professionals across 30+ countries, we are driven by curiosity, agility, and the desire to create lasting value for our clients. Our purpose, which is the relentless pursuit of a world that works better for people, drives us to serve and transform leading enterprises, including the Fortune Global 500. Our deep business and industry knowledge, along with expertise in digital operations services, data, technology, and AI, enables us to provide innovative solutions to our clients. We are currently looking for a Consultant - Boomi Developer to join our team. As a Consultant - Boomi Developer, you will be responsible for designing, developing, and implementing integration solutions using Dell Boomi. You will work as part of a dynamic team to integrate applications and services across various platforms, ensuring seamless and efficient data flows. Your role will involve the end-to-end development of integration processes, troubleshooting issues, and contributing to ongoing optimization. Key Responsibilities: Integration Design and Development: - Design, develop, and implement integration solutions using Boomi AtomSphere. - Develop custom processes for integration, including mapping and transformation. - Build reusable integration components and templates to streamline future development. Boomi Process Management: - Configure, test, and deploy integration processes and workflows. - Troubleshoot and debug Boomi processes to ensure correct and efficient data flows. Collaboration: - Work closely with business analysts, project managers, and technical teams to gather requirements and deliver integration solutions on time. - Participate in technical discussions and contribute to the design and architecture of solutions. Maintenance and Support: - Monitor and maintain live Boomi integrations to ensure data integrity, availability, and performance. - Provide ongoing support for existing integrations, handling production issues and enhancements. Documentation: - Create and maintain detailed technical documentation for all integration solutions. - Assist in user training and provide support during the post-deployment phase. Qualifications: Minimum Qualifications: - Technical Skills: Hands-on experience with Dell Boomi Integration platform (Boomi AtomSphere). - Proficiency in creating integrations with various systems, including cloud applications, databases, and on-premise systems. - Knowledge of integration patterns, API development, web services (SOAP/REST), and XML/JSON processing. - Strong knowledge of scripting languages (Groovy, JavaScript, etc.) to enhance integration processes. Experience with Cloud Platforms: - Experience with integration between cloud-based and on-premise applications. - Familiarity with popular cloud applications (Salesforce, NetSuite, ServiceNow, etc.). Problem-Solving and Troubleshooting: - Ability to diagnose and resolve technical issues in integration processes. - Strong analytical and debugging skills. Communication: - Strong written and verbal communication skills. - Ability to work effectively with cross-functional teams and stakeholders. Preferred Skills: - Boomi certifications (e.g., Boomi Professional Developer Certification) are a plus. - Familiarity with databases (SQL, NoSQL) and experience with data integration techniques. - Experience with Agile development methodologies. Education: - Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience. This is a full-time position based in India, Pune. If you meet the qualifications and are excited about the opportunity to work as a Consultant - Boomi Developer, we encourage you to apply.,

At CodeAegis, we are dedicated to staying ahead in the technological landscape by delivering innovative solutions to our clientele. To support our expansion, we are in search of adept developers proficient in both Node.js and Golang to become a valuable part of our vibrant team. If you possess a fervor for crafting scalable applications and unraveling intricate challenges, we eagerly await your application! As a member of our team, your primary responsibilities will include developing, deploying, and managing scalable backend applications using Node.js and Golang. You will collaborate closely with diverse teams to architect, construct, and enhance APIs and microservices infrastructure. Your role will involve crafting clean, efficient, and sustainable code to ensure optimal performance, quality, and responsiveness of applications. Additionally, you will be tasked with designing and overseeing databases and data storage solutions to maintain high availability and consistency. Integration of third-party APIs and services into backend systems will also fall within your purview. In the event of application issues, your troubleshooting and debugging skills will come into play to swiftly identify and rectify any issues. Collaboration with frontend developers will be essential to merge server-side logic with user-facing components. Upholding code quality through peer reviews, unit testing, and adherence to industry best practices will be crucial. Staying abreast of emerging trends and techniques in Node.js and Golang and applying them effectively will be expected. Active participation in agile development cycles, providing constructive feedback, and perpetually refining processes will be part of your routine. The ideal candidate should possess proven expertise in utilizing Node.js and Golang for backend service and application development. A solid grasp of asynchronous programming, event-driven architecture, and multithreading is essential. Hands-on experience with RESTful APIs and microservices construction is required. Proficiency in managing database systems, including SQL, NoSQL, PostgreSQL, MongoDB, among others, is necessary. Familiarity with version control systems, particularly Git, is preferred. Strong problem-solving capabilities and adept debugging skills are crucial. Effective teamwork and exceptional communication skills are indispensable for seamless collaboration within the team. Knowledge of containerization and orchestration technologies such as Docker and Kubernetes is advantageous. Experience with cloud platforms like AWS, Google Cloud, or Azure is desirable. A comprehensive understanding of CI/CD pipelines, automation, and DevOps practices is a plus. A Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) is a requisite. This is a full-time permanent position with the benefit of working from home. The job is based on a day shift schedule from Monday to Friday with in-person work location requirements.,