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Key Responsibilities: Develop and maintain robust, scalable, and high-performance applications using Core Java and Spring frameworks (Spring Boot, Spring Data JPA, Spring Batch, Spring Cloud). Design and implement efficient data structures and algorithms to optimize application performance. Work with front-end technologies like HTML, CSS, JavaScript, and Angular/React (HTMX is a plus) to build responsive and user-friendly interfaces. Develop and manage RESTful APIs and microservices with Spring Boot. Utilize SQL for relational database management and have working knowledge of NoSQL databases. Deploy and maintain applications on cloud platforms (AWS preferred, Azure/GCP acceptable). Work with DevOps tools like Jenkins, CI/CD, Docker, Kubernetes, JIRA, GIT, Maven, Postman, SOAP-UI to streamline the development lifecycle. Collaborate with cross-functional teams to understand project requirements and deliver high-quality solutions. Troubleshoot and resolve technical issues efficiently. Stay up to date with emerging technologies and best practices in Java and cloud development. RequirementsPreferred Qualifications: Bachelor/Masterdegree in Computer Science, Engineering, or a related field. Experience with Python is a big plus. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities

Key Accountabilities and main responsibilities Strategic Focus Drive observability strategy aligned with MPMS s broader technology transformation goals. Support innovation in performance monitoring through New Relic s full-stack capabilities. Operational Management Configure, manage, and optimize New Relic tools for APM, infrastructure, synthetics, and logging. Collaborate with development, infrastructure, and support teams to define and track KPIs. Create dashboards and alerts to support real-time incident detection and resolution. People Leadership Guide and support teams in adopting observability best practices. Deliver training and onboarding for New Relic usage across application teams. Governance Risk Ensure observability practices comply with MPMS policies, risk management standards, and audit requirements. Maintain documentation and participate in reviews of monitoring configurations. Experience Personal Attributes At least 10 years of experience in IT Operations, including over 5 years of hands-on work with New Relic, AppDynamics, or Dynatrace in enterprise environments. Proven expertise in Application Performance Monitoring (APM), infrastructure monitoring, NRQL, and synthetic monitoring. Familiarity with cloud platforms such as AWS, Azure, or GCP, alongside experience with CI/CD pipelines. Personal Attributes Strong analytical and troubleshooting skills. Proactive, collaborative, and adaptable to changing priorities. High attention to detail, with a mindset for continuous improvement

You will be responsible for defining and communicating a shared architectural vision for a complex product built on the Salesforce platform, focusing on Service Cloud, Manufacturing Cloud, and Field Services Lightning. Your role involves collaborating with Agile teams to evaluate solutions, validate technology assumptions, and drive platform direction aligned with business needs. Additionally, you will work closely with Enterprise and Solution Architects to deliver solutions that adhere to broader architecture guardrails. Your key responsibilities include setting the strategic direction and roadmap for Service Capabilities, leading the planning and high-level design of complex product solutions, enabling a continuous delivery pipeline, defining system interfaces and data structures, and establishing critical nonfunctional requirements. You will also participate in solution planning, develop architectural runways, provide technical oversight, and negotiate with the business to prioritize nonfunctional work effectively. To qualify for this role, you must hold a Bachelor's degree from an accredited institution and have over 12 years of experience in the software industry, with a strong track record of shipping high-quality products. You should possess at least 8 years of experience with the Salesforce Platform, particularly focusing on Service Cloud, and experience with Manufacturing Cloud and Field Service Lightning is advantageous. Additionally, you should have extensive knowledge of best practices in software engineering. As for skills, you should have an expert level understanding of Salesforce, Lightning Web Components, Apex, and associated development platforms, along with experience in developing enterprise-grade applications and distributed systems. Proficiency in software design principles, DevSecOps, CI/CD principles, modern software development practices, cybersecurity concepts, Agile methodologies, and cloud services is essential. Moreover, experience with multiple cloud service providers, such as Azure, AWS, and GCP, is beneficial, as well as advanced verbal and written communication skills, good judgment, and the ability to work collaboratively with diverse teams. In summary, this role requires a seasoned professional with a solid technical background, extensive experience in Salesforce and software engineering, strong communication skills, and the ability to drive architectural decisions in alignment with business objectives.,

Role &responsibilities : Proficient in Performance testing tools like JMeter Manage forplanning and creating automated performance tests, executing tests, and results to measure performance, scalability,stabilityand reliability. Expertisein Test Planning, Test Estimation, Test Strategy,Work LoadDesign, Test Cases Design, Test Environment Setup, Test Data Setup, Defect Management. Experience in Application Monitoring Tools like AppDynamics. Decide &finalisethe load parameters approach referring the production data from Splunk Hands-on experience in writing and executing performance test scenarios for complex systems. Hands-on experience with performance testsimulations, performance analysis, performance tuning, performance monitoring in a microservices environment Perform analysis of performance issues in Pre-production and/or Production environments. Hands- on experience in analyzing the performance results - Capture/Analyze/Interpret technicaldataperformancemetrics from application, database, OS, and Network. Demonstratedability to capture key metrics, createaccuratestatus reports and effectively communicate to the stake holders. Hands-on experience in defect logging,trackingand verifying defects. Identifyingmemory leakage, connection issues & Bottleneck problem in the application. Generate performance graphs, session reports, and other related documentationrequiredfor validation and analysis. Publish results and provideappropriate signoff. Prepare detailed status reports, andmonitoring ofall defects and issues. Good understanding of basic DB tuning, application server tuning and common issues around performance and scalability. Set up theJmeterjob on CI / CD pipeline process in TeamCity Good collaboration & ability to communicate with technical & non-technical stakeholders Experience of working in Agile testingmethodology Team Management experience ismust.

Requirements: Develop,maintain, andoptimizescalable data processing applications using Python andPySpark. Design and implement data solutions that meet performance and reliability requirements. Collaborate with data engineers, data scientists, and other stakeholders to gather requirements and deliver high-quality solutions. Write clean, efficient, and maintainable code following best practices and coding standards. Perform data analysis and ensure data quality and integrity. Monitorand troubleshoot performance issues in the data processing pipelines. Implement andmaintainCI/CD pipelines for automated testing and deployment. Stayup-to-datewith the latest industry trends and technologies in Python andPySpark Required Skills and Qualifications: BachelororMasterdegree in Computer Science, Engineering, or a related field. Proven experience as a Python Developer withexpertiseinPySpark. Strong knowledge of Python and its libraries (e.g., Pandas, NumPy). Experience with Apache Spark, including Spark SQL,DataFrames, and Spark Streaming. Proficiencyin SQL and experience with relational databases. Familiarity with big data tools and frameworks. Experience with version control systems such as Git. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills.

You will be responsible for utilizing your skills in Java, Python, and SQL to design and maintain frameworks. Your role will involve a solid understanding of HTML and CSS, along with experience in Continuous Integration (CI) and Continuous Deployment (CD). As an RPA professional, you should have at least 4+ years of experience in the field. This is a full-time position based in Bangalore, and we are looking to fill 2 positions with qualified candidates. If you meet the qualification of being a graduate and possess the necessary skills, we encourage you to apply now for this opportunity.,

As a SAP BTP Expert with 4-5 years of experience, your role will involve setting up SAP BTP accounts, configuring diverse runtimes and services, and managing security and authorization. You should have comprehensive expertise in service authentication, trust configuration, SAP Cloud Connector, Cloud Foundry, alert and notification services, transport services, CI/CD automation, and connectivity with on-premises systems. Qualifications - Bachelor's degree in Computer Science, Information Technology, or a related field. - 4-5 years of hands-on experience in SAP BTP account setup, runtime and service configuration, security, and authorization. - Proficiency in scripting languages and automation tools. - Excellent communication and collaboration skills. - Problem-solving mindset with the ability to troubleshoot complex issues. Responsibilities - Configure SAP BTP accounts for various projects, considering scalability, security, and performance requirements. - Expertise in configuring different runtimes and services on SAP BTP, including database services, application services, and integration services. - Implement robust security measures and define authorization roles and policies for users and applications. - Configure authentication mechanisms for SAP BTP services and establish trust relationships between components. - Implement and manage SAP Cloud Connector for secure communication between SAP BTP Cloud Foundry and on-premises systems. - Manage applications on SAP BTP Cloud Foundry, collaborating with development teams for deployment and scaling. - Configure and manage alerting and notification services for proactive monitoring of SAP BTP applications. - Set up transport services for smooth movement of applications and configurations across SAP BTP environments. - Design and implement CI/CD pipelines, automating build, test, and deployment processes. - Collaborate with cross-functional teams to understand project requirements and provide technical expertise. - Document SAP BTP configurations, security measures, and best practices. - Diagnose and resolve issues related to SAP BTP configurations, runtimes, services, and security. - Provide timely support to ensure continuous operation. If you are a results-driven SAP BTP Expert with a comprehensive skill set and proven experience in the above-mentioned areas, we invite you to apply and contribute to our innovative SAP BTP projects.,

Critical Skills to Possess: 6–8 years of hands-on experience with Microsoft SQL Server in high-volume production environments. Strong proficiency in RMAN , ASM , and PL/SQL scripting. Deep experience in SQL Server internals , SSMS , T-SQL , backup/restore strategies, and maintenance plans. Experience with monitoring tools like OEM , SQL Sentry , SolarWinds DPA , or Nagios/Zabbix . Comfortable working in Linux/Unix as well as Windows Server environments. Preferred Qualifications: Microsoft Certified: Azure Database Administrator Associate . Familiarity with cloud database platforms (e.g.Azure SQL Database). Experience with DevOps , CI/CD pipelines , and Infrastructure-as-Code (IaC) for DB deployment. Proven ability to work collaboratively across globally distributed teams and support 24x7 production environments. Preferred Qualifications: BS degree in Computer Science or Engineering or equivalent experience Roles and Responsibilities Roles and Responsibilities: 6–8 years of hands-on experience with Microsoft SQL Server in high-volume production environments. Strong proficiency in RMAN , ASM , and PL/SQL scripting. Deep experience in SQL Server internals , SSMS , T-SQL , backup/restore strategies, and maintenance plans. Experience with monitoring tools like OEM , SQL Sentry , SolarWinds DPA , or Nagios/Zabbix . Comfortable working in Linux/Unix as well as Windows Server environments. Preferred Qualifications: Microsoft Certified: Azure Database Administrator Associate . Familiarity with cloud database platforms (e.g.Azure SQL Database). Experience with DevOps , CI/CD pipelines , and Infrastructure-as-Code (IaC) for DB deployment. Proven ability to work collaboratively across globally distributed teams and support 24x7 production environments.

We are seeking a highly skilled Lead Platform Engineer with 7+ years of experience to drive innovation at the intersection of DevOps, cloud automation, and artificial intelligence. The ideal candidate will have deep expertise in generative AI, machine learning, and AIOps, coupled with advanced knowledge of cloud infrastructure automation and modern engineering practices. This role involves leading the design, development, and implementation of transformative automation solutions using AI/ML and generative AI technologies. Responsibilities Architect automated workflows for cloud infrastructure provisioning and management using IaC tools like Terraform Build and optimize automation frameworks to enable scalable multi-cloud infrastructure deployment and management Develop and enhance service catalog components with integration into platforms such as Backstage, leveraging GenAI models for code generation Implement CI/CD pipelines to streamline code builds, testing, and deployments, ensuring continuous delivery across diverse cloud environments Write and maintain automation scripts using Python, Bash, or similar scripting languages Act as deployment orchestrator, driving smooth, automated deployments across cloud ecosystems Design and implement generative AI models such as RAG and agentic workflows using frameworks like Langchain or platforms like Bedrock, Vertex, Azure AI Build and manage vector document sources and vector databases (e.g., Amazon Kendra, Opensearch) for AI-driven applications Prepare datasets, apply feature engineering, and optimize inputs for AI/ML models to enhance training and inference outcomes Create and integrate agentic workflows using approaches like ReAct patterns or Langraph engineering with cloud GenAI platforms Evaluate model performance and select appropriate large language models (LLMs) for specific use cases while preventing model decay through prompt/flow engineering Develop MLOps pipelines to deploy RAG or agentic flows, monitoring and iterating to ensure long-term operational performance Collaborate with cross-functional teams to develop innovative cloud automation and AIOps capabilities, driving operational efficiency Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field 7+ years of experience in cloud infrastructure automation, DevOps, and scripting Expertise in IaC tools such as Terraform, CloudFormation, or similar technologies Strong proficiency with Python and generative AI frameworks (RAG, agentic workflows) Proven experience working with GenAI platforms like Bedrock, Vertex AI, or Azure AI Competency in building and managing vector databases like Opensearch or Amazon Kendra Proficiency in data preparation, feature engineering, and dataset optimization for AI model development Background in designing and operating CI/CD pipelines and automating deployment workflows Knowledge of cloud automation tools, service catalogs, and integration platforms (e.g., Backstage) Nice to have Familiarity with data streaming solutions and data lake architectures for real-time AI insights Understanding of ReAct patterns and Langraph engineering for agentic workflows Skills in integrating GenAI models into existing operational platforms for enhanced automation Showcase of experience driving AIOps initiatives in large-scale environments Flexibility to adapt and utilize emerging AI/ML technologies in solving complex operational challenges

At BairesDev, we've been leading the way in technology projects for over 15 years We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley, Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide, When you apply for this position, you're taking the first step in a process that goes beyond the ordinary We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success, Senior Dot net Developer at BairesDev As a Senior Dot net Developer, lead in creating robust solutions using Dot net Core, C#, and related technologies Your expertise will guide the development of scalable applications, mentor junior developers, and innovate within our tech stack, ensuring high-quality software delivery, What you will do Lead the design and development of complex, high-performance Dot net applications, meeting business requirements, Mentor junior and semi-senior developers, fostering technical excellence, Make key architectural decisions, contributing to long-term strategic planning of software projects, Oversee code reviews to maintain high standards of code quality and best practices, Evaluate and advocate for the adoption of new Dot net technologies and practices, Provide technical insights and recommendations to project managers and other stakeholders, What we are looking for 5+ years of experience with Dot net, Strong understanding of best practices, such as SOLID and clean code, focusing on scalable solutions, Extensive experience with code reviews, writing automated tests, and implementing CI/CD pipelines, Strong expertise in unit testing, integration testing, and maintaining high code coverage, Demonstrated ability to make informed technical decisions and apply the best approach for each use case, IT infrastructure knowledge, Advanced level of English, How we do make your work (and your life) easier: 100% remote work (from anywhere), Excellent compensation in USD or your local currency if preferred Hardware and software setup for you to work from home, Flexible hours: create your own schedule, Paid parental leaves, vacations, and national holidays, Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent, Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities, Apply now and become part of a global team where your unique talents can truly thrive! Show

When you join Verizon You want more out of a career A place to share your ideas freely ? even if theyre daring or different Where the true you can learn, grow, and thrive At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy We do what we love ? driving innovation, creativity, and impact in the world Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins In crisis and in celebration, we come together ? lifting our communities and building trust in how we show up, everywhere & always Want inJoin the #VTeamLife, We are seeking a highly experienced and visionary Principal Application Security Architect to drive our application security strategy, with a particular focus on leveraging data and analytics to gain deep insights and predictive capabilities This individual will be a technical leader, responsible for defining, implementing, and maturing our application security program, ensuring the highest level of security across our entire application portfolio You will be instrumental in transforming raw security data into actionable intelligence, enabling proactive threat detection and mitigation, What Youll Be Doing,, Operations Developing and implementing analytics models: Design and build data models, dashboards, and reporting mechanisms to provide actionable insights into the security posture of applications, Developing and implementing enhanced detection capabilities and improved event correlation from various sources of logs, Identifying trends and anomalies: Utilize advanced analytics, machine learning, and statistical methods to identify emerging threat patterns, anomalous behavior, and potential attack vectors based on aggregated data, Predictive capabilities: Developing and implementing predictive models to anticipate future security risks and vulnerabilities, enabling proactive remediation and control implementation, Utilizing various monitoring tools (Splunk, Cequence, Guardium) capabilities to analyze data, identify anomalies, and investigate potential security breaches, Risk scoring and prioritization: Establishing intelligent risk scoring mechanisms for vulnerabilities and threats based on impact, likelihood, and observed patterns, Conducting in-depth threat modeling and security architecture reviews for new and existing applications, Identifying potential attack surfaces, design flaws, and vulnerabilities early in the development process, Providing expert guidance and recommendations for secure design and implementation, Supporting application-centric security incident response activities, including investigation, containment, eradication, and recovery, Utilizing insights from security tools and transaction data to assist in root cause analysis and forensic investigations, Communicating the complexities of security with a wide variety of audiences, including senior management, external customers, Automation & Tooling Evaluating, selecting, and implementing appropriate application security tools and technologies, Driving the automation of security testing, monitoring, and reporting processes, Integrating security tools seamlessly into CI/CD pipelines to achieve DevSecOps maturity, Research & Innovation Staying abreast of the latest application security threats, vulnerabilities, technologies, and industry best practices, Conducting research and recommend innovative solutions to enhance our application security capabilities, particularly in the areas of data analytics and predictive security, Being open to take up certain role responsibilities and skills to evolve over time to better align with changing business and market needs, which may also include a requirement to perform additional responsibilities as and when required, What Were Looking For,, You'll need to have: Bachelor's degree or six or more years of work experience Nine or more years of relevant work experience, Experience in Cybersecurity, Network Security, Security Architecture Design, Information Security Management, Vulnerability Management, Program Management, Experience in Forensic Computing, Penetration Testing, Intelligence Analysis, AI/ML, CISSP certified or pursuing, Even better if you have one or more of the following Independent judgment and discretion, and risk analysis skills, Experience in Security Operations including the handling, identification, analysis and resolution of various security-related matters with limited guidance Ability to juggle competing demands and to prioritize work with a sense of urgency in a dynamic, fast-paced environment, Strong communication skills, Ability to work autonomously and in a team environment, while paying strict attention to detail Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager, Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics, Show

Redefine the future of customer experiences. One conversation at a time. We re changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service , our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you re ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you re in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing Nextiva is building a next-generation voice and video platform to power our Unified Communications (UCaaS) and Contact Center (CCaaS) products. This platform blends open-source components with in-house innovation to deliver carrier-grade quality and 99.999% uptime. We need a Software Engineer to drive development of real-time voice/video services, enhancing call quality and reliability and enabling AI-powered voice features on our unified customer experience (UCXM) platform. You will work on everything from media servers and audio processing to cloud deployment, ensuring our system is scalable, secure, and high performing. We operate with a DevOps culture engineers own their code from development through production. Key Responsibilities Develop Core Communication Services: Build and maintain backend services for voice/video calling (signaling servers, call routing logic, media gateways) using SIP and WebRTC. Implement features like call setup, conferencing, transfers, and recording with a focus on efficiency and reliability. Enhance Audio Quality (DSP): Implement and tune digital signal processing algorithms for superior call audio. This includes noise suppression, echo cancellation, jitter buffer optimization, and voice activity detection to ensure crystal-clear , uninterrupted communication even on poor networks. Optimize Media & Codecs: Work with real-time media streaming (RTP) and various codecs (Opus, G.711, H.264, etc.). Optimize codec configurations and adapt bitrates on the fly based on network conditions to balance quality and bandwidth. Integrate Voice AI Features: Embed speech-to-text (ASR) and text-to-speech (TTS) capabilities into the platform. Enable AI voice agents to participate in calls by streaming audio to AI services and injecting synthesized speech responses. Manage conversation flow between humans and AI (handling interruptions, timing responses) to make interactions feel natural. Ensure Scalability & Resilience: Design services with a cloud-native approach (microservices, containers) for deployment on Kubernetes. Implement high-availability strategies (clustering, failover) across global data centers so that the platform achieves five-9s uptime with no downtime for maintenance. Performance & Reliability Tuning: Continuously profile and improve system performance end-to-end. Minimize call setup times and audio latency through efficient coding (C/C++ for media processing) and system optimizations. DevOps & Support: Use CI/CD pipelines to deploy updates safely with zero downtime. Write comprehensive automated tests (unit, integration, load) for your features. Participate in on-call rotation to troubleshoot and resolve production issues in real time, and implement lasting solutions to prevent recurrence. Collaboration: Work closely with Product Managers , front-end teams , AI/ML team and with network engineers . Qualifications Real-Time Communications: 5+ years of experience developing VoIP or real-time communication systems. Strong knowledge of SIP protocol, WebRTC, and related networking (RTP, NAT traversal). Proven ability to implement call logic and troubleshoot signaling and media issues. Audio/DSP Expertise: Hands-on experience with audio processing in real time. Familiarity with noise reduction, echo cancellation, jitter buffers, and other voice QoS techniques. Comfort optimizing or using audio codecs (Opus, G.711, etc.) and improving call quality under varying network conditions. Strong Coding Skills: Proficiency in C/C++ for high-performance, multi-threaded systems programming. Experience writing efficient, low-latency code (lock-free structures, memory management). Additionally, skilled with a higher-level language like Go or Java for building microservices and control logic. Cloud & Scalability: Experience building and deploying services in a cloud-native environment (Docker, Kubernetes). Knowledge of designing scalable microservices and using cloud infrastructure (AWS, GCP, or Azure) for load balancing, monitoring, and fault tolerance. Voice AI Familiarity: Exposure to integrating speech recognition and text-to-speech in applications. You ve perhaps worked with voice assistants, IVR systems, or call center AI you understand basic latency/accuracy trade-offs and how to interface with speech APIs/SDKs. Security & Compliance: Basic understanding of securing voice communications (TLS, SRTP) and safeguarding customer data (GDPR, HIPAA considerations for call recordings, etc.). Designs solutions with privacy and security best practices in mind. DevOps Mindset: Comfortable using CI/CD, infrastructure-as-code, and logging/monitoring tools. Willing to take ownership of code in production debugging live issues, optimizing resource usage, and responding to incidents. Team Player: Excellent collaboration and communication skills. Experience working in Agile teams. Ability to clearly document designs and mentor others. A proactive attitude to problem-solving and an enthusiasm for continuous learning in the fast-evolving communications and AI field. Nextiva DNA (Core Competencies) Nextiva s most successful team members share common traits and behaviors: Drives Results: Action-oriented with a passion for solving problems. They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently. They lead and drive change, celebrating success to build more success. Critical Thinker: Understands the "why" and identifies key drivers, learning from the past. They are fact-based and data-driven, forward-thinking , and see problems a few steps ahead. They provide options, recommendations, and actions, understanding risks and dependencies. Right Attitude : They are team-oriented, collaborative, competitive, and hate losing. They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems. They cultivate a culture of service, learning, support, and respect, caring for customers and teams. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidates qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security - Provident Fund & Gratuity Wellness - Employee Assistance Program and comprehensive wellness initiatives Growth - Access to ongoing learning and development opportunities and career advancement At Nextiva, were committed to supporting our employees health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what s going on at Nextiva, check us out on Instagram , Instagram (MX) , YouTube , LinkedIn , and the Nextiva blog . #LI-RP1 #LI-HYBRID

Senior Data Engineer Apply now Date: 27 Jul 2025 Location: Bangalore, IN Company: kmartaustr A place you can belong: We celebrate the rich diversity of the communities in which we operate and are committed to creating inclusive and safe environments where all our team members can contribute and succeed. We believe that all team members should feel valued, respected, and safe irrespective of your gender, ethnicity, indigeneity, religious beliefs, education, age, disability, family responsibilities, sexual orientation and gender identity and we encourage applications from all candidates. Job Description: 5-7 Yrs of expereience in Data Engineer 3+ yrs in AWS service like IAM, API gateway, EC2,S3 2+yrs expereince in creating and deploying containers on kubernestes 2+yrs expereince with CI-CD pipelines like Jrnkins, Github 2+yrs expereince with snowflake data warehousing, 5-7 yrs with ETL/ELT paradign 5-7 yrs in Big data technologies like Spark, Kafka Strong Expereince skills in Python, Java or scala A place you can belong: We celebrate the rich diversity of the communities in which we operate and are committed to creating inclusive and safe environments where all our team members can contribute and succeed. We believe that all team members should feel valued, respected, and safe irrespective of your gender, ethnicity, indigeneity, religious beliefs, education, age, disability, family responsibilities, sexual orientation and gender identity and we encourage applications from all candidates. Apply now Find similar jobs:

We are seeking a skilled Platform Engineer to join our Automation Engineering team, bringing expertise in cloud infrastructure automation, DevOps, scripting, and advanced AI/ML practices. The role focuses on integrating generative AI into automation workflows, enhancing operational efficiency, and supporting cloud-first initiatives. Responsibilities Design cloud automation workflows using Infrastructure-as-Code tools such as Terraform or CloudFormation Build scalable frameworks to manage infrastructure provisioning, deployment, and configuration across multiple cloud platforms Create service catalog components compatible with automation platforms like Backstage Integrate generative AI models to improve service catalog functionalities, including automated code generation and validation Architect CI/CD pipelines for automated build, test, and deployment processes Maintain deployment automation scripts utilizing technologies such as Python or Bash Implement generative AI models (e.g., RAG, agent-based workflows) for AIOps use cases like anomaly detection and root cause analysis Employ AI/ML tools such as LangChain, Bedrock, Vertex AI, or Azure AI for advanced generative AI solutions Develop vector databases and document sources using services like Amazon Kendra, OpenSearch, or custom solutions Engineer data pipelines to stream real-time operational insights that support AI-driven automation Build MLOps pipelines to deploy and monitor generative AI models, ensuring optimal performance and avoiding model decay Select appropriate LLM models for specific AIOps use cases and integrate them effectively into workflows Collaborate with cross-functional teams to design and refine automation and AI-driven processes Research emerging tools and technologies to enhance operational efficiency and scalability Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field 3-8 years of experience in cloud infrastructure automation, DevOps, and scripting Proficiency with Infrastructure-as-Code tools such as Terraform or CloudFormation Expertise in Python and generative AI frameworks like RAG and agent-based workflows Knowledge of cloud-based AI services, including Bedrock, Vertex AI, or Azure AI Familiarity with vector databases like Amazon Kendra, OpenSearch, or custom database solutions Competency in data engineering tasks such as feature engineering, labeling, and real-time data streaming Proven track record in creating and maintaining MLOps pipelines for AI/ML models in production environments Nice to have Background in Flow Engineering tools such as Langraph or platform-specific workflow orchestration tools Understanding of comprehensive AIOps processes to refine cloud-based automation solutions

We are seeking a skilled Platform Engineer to join our Automation Engineering team, bringing expertise in cloud infrastructure automation, DevOps, scripting, and advanced AI/ML practices. The role focuses on integrating generative AI into automation workflows, enhancing operational efficiency, and supporting cloud-first initiatives. Responsibilities Design, build, and maintain cloud automation workflows using Infrastructure-as-Code tools such as Terraform or CloudFormation Develop scalable frameworks for managing infrastructure provisioning, deployment, and configuration across multiple cloud platforms Create and integrate service catalog components with automation platforms like Backstage Leverage generative AI models to enhance service catalog capabilities, including automated code generation and validation Architect and implement CI/CD pipelines for automated build, test, and deployment processes Build and maintain deployment automation scripts using technologies such as Python or Bash Design and implement generative AI models (e.g., RAG, agent-based workflows) for AIOps use cases like anomaly detection and root cause analysis Utilize AI/ML tools such as LangChain, Bedrock, Vertex AI, or Azure AI for building advanced generative AI solutions Develop vector databases and document sources using services like Amazon Kendra, OpenSearch, or custom solutions Engineer data pipelines for streaming real-time operational insights to support AI-driven automation Create MLOps pipelines to deploy and monitor generative AI models, ensuring optimal performance and avoiding model decay Evaluate and select appropriate LLM models for specific AIOps use cases, integrating them efficiently into workflows Collaborate with cross-functional teams to design and improve automation and AI-driven processes Continuously research emerging tools and technologies to improve operational efficiency and scalability Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field 3-8 years of experience in cloud infrastructure automation, DevOps, and scripting Proficiency with Infrastructure-as-Code tools such as Terraform or CloudFormation Expertise in Python and generative AI frameworks like RAG and agent-based workflows Knowledge of cloud-based AI services, including Bedrock, Vertex AI, or Azure AI Familiarity with vector databases like Amazon Kendra, OpenSearch, or custom database solutions Competency in data engineering tasks such as feature engineering, labeling, and real-time data streaming Proven experience in creating and maintaining MLOps pipelines for AI/ML models in production environments Nice to have Familiarity with Flow Engineering tools such as Langraph or platform-specific workflow orchestration tools Understanding of end-to-end AIOps processes to enhance cloud-based automation solutions

We are seeking a skilled Platform Engineer to join our Automation Engineering team, bringing expertise in cloud infrastructure automation, DevOps, scripting, and advanced AI/ML practices. The role focuses on integrating generative AI into automation workflows, enhancing operational efficiency, and supporting cloud-first initiatives. Responsibilities Design, build, and maintain cloud automation workflows using Infrastructure-as-Code tools such as Terraform or CloudFormation Develop scalable frameworks for managing infrastructure provisioning, deployment, and configuration across multiple cloud platforms Create and integrate service catalog components with automation platforms like Backstage Leverage generative AI models to enhance service catalog capabilities, including automated code generation and validation Architect and implement CI/CD pipelines for automated build, test, and deployment processes Build and maintain deployment automation scripts using technologies such as Python or Bash Design and implement generative AI models (e.g., RAG, agent-based workflows) for AIOps use cases like anomaly detection and root cause analysis Utilize AI/ML tools such as LangChain, Bedrock, Vertex AI, or Azure AI for building advanced generative AI solutions Develop vector databases and document sources using services like Amazon Kendra, OpenSearch, or custom solutions Engineer data pipelines for streaming real-time operational insights to support AI-driven automation Create MLOps pipelines to deploy and monitor generative AI models, ensuring optimal performance and avoiding model decay Evaluate and select appropriate LLM models for specific AIOps use cases, integrating them efficiently into workflows Collaborate with cross-functional teams to design and improve automation and AI-driven processes Continuously research emerging tools and technologies to improve operational efficiency and scalability Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field 3-8 years of experience in cloud infrastructure automation, DevOps, and scripting Proficiency with Infrastructure-as-Code tools such as Terraform or CloudFormation Expertise in Python and generative AI frameworks like RAG and agent-based workflows Knowledge of cloud-based AI services, including Bedrock, Vertex AI, or Azure AI Familiarity with vector databases like Amazon Kendra, OpenSearch, or custom database solutions Competency in data engineering tasks such as feature engineering, labeling, and real-time data streaming Proven experience in creating and maintaining MLOps pipelines for AI/ML models in production environments Nice to have Familiarity with Flow Engineering tools such as Langraph or platform-specific workflow orchestration tools Understanding of end-to-end AIOps processes to enhance cloud-based automation solutions

Creditas Solutions is looking for DevOps Engineer to join our dynamic team and embark on a rewarding career journey Manage cloud infrastructure and deployments on Azure Automate CI/CD pipelines for software releases Monitor and optimize system performance Ensure security and compliance in cloud environments

Zensar Technologies is looking for AWS Engineer AWS Engineer to join our dynamic team and embark on a rewarding career journey Be responsible for the planning, implementation, and growth of the AWS cloud infrastructureBuild, release, and manage the configuration of all production systemsManage a continuous integration and deployment methodology for server-based technologiesWork alongside architecture and engineering teams to design and implement any scalable software servicesEnsure necessary system security by using best in class cloud security solutionsImplement continuous integration/continuous delivery (CI/CD) pipelines when necessaryRecommend process and architecture improvementsTroubleshoot the system and solve problems across all platform and application domainsOversee pre-production acceptance testing to ensure the high quality of a companys services and products

Critical Skills to Possess: Strong Experience Azure Cloud Should have working knowledge on Kubernetes, Jenkins and Terraform Should have working knowledge on Packer and Flux tools Should have good exposure on Linux and Windows administration Strong knowledge on YAML scripts Should have good exposure on Helm Knowledge in setting up pipelines in Jenkins Manage CI/CD automation and knowledge on Bitbucket/Jenkins integration Interpersonal communications skills, to interface with customers, peers and management Preferred Qualifications: Bachelor’s degree in computer science or a related field (or equivalent work experience) Roles and Responsibilities Roles and Responsibilities: Design, implement, and maintain the organization's continuous integration and delivery (CI/CD) pipelines to automate software build, test, and deployment processes. Collaborate with development teams to understand their requirements and provide technical guidance on building scalable and reliable infrastructure. Develop and maintain infrastructure as code (IaC) using tools like Ansible, Puppet, or Terraform to enable automated provisioning and configuration management. Manage and monitor cloud-based infrastructure (such as AWS, Azure, or Google Cloud) to ensure high availability, scalability, and performance of applications. Implement and maintain monitoring and logging systems to proactively identify and resolve performance bottlenecks and security vulnerabilities. Troubleshoot issues related to application deployment, performance, and reliability, working closely with development and operations teams to ensure timely resolution. Implement and enforce security best practices for infrastructure and applications, including access control, data encryption, and vulnerability scanning.

We are seeking a skilled Site Reliability Engineer to support the administration of Azure Kubernetes Service (AKS) clusters running critical, always-on middleware that processes thousands of transactions per second (TPS). The ideal candidate will operate with a mindset aligned to achieving 99.999% (five-nines) availability. Key Responsibilities: Own and manage AKS cluster deployments, cutovers, base image updates, and daily operational tasks. Test and implement Infrastructure as Code (IaC) changes using best practices. Apply software engineering principles to IT operations for maintaining scalable and reliable production environments. Write and maintain IaC as well as automation code for: Monitoring and ing Log analysis Disaster recovery testing Incident response Documentation-as-code Mandatory Skills: Strong experience with Terraform In-depth knowledge of Azure Cloud Proficiency in Kubernetes cluster creation and lifecycle management (deployment-only experience is not sufficient) Hands-on experience with CI/CD tools (GitHub Actions preferred) Bash and Python scripting skills Desirable Skills: Exposure to Azure Databricks and Azure Data Factory Experience with secret management using HashiCorp Vault Familiarity with monitoring tools (any) Required Skills Azure, Kubernetes, Terraform, DevOps

QA Analyst - ETL and API Req number: R5774 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are seeking a skilled Manual Tester specializing in ETL and API testing to join our team. The ideal candidate will have a strong foundation in SQL, data migration, and data integration testing, with a keen eye for detail and a methodical approach to validating complex systems and are looking for your next career move, apply now. Job Description We are looking for a QA Analyst (ETL and API) to perform data migration and data integration testing, validating ETL processes, data quality, and transformation rules. This position will be Full Time and remote. What You’ll Do Utilize strong hands-on experience in SQL to validate data across multiple layers and systems (OLTP to OLAP). Perform data migration and data integration testing, validating ETL processes, data quality, and transformation rules. Conduct API testing using Postman to validate REST APIs, request/response structures, and business logic. Automate testing in Postman using JavaScript, creating test scripts for dynamic validations and workflow chaining. Exposure to performance testing using JMeter, creating and executing load/stress test plans and analyzing performance metrics. Employ working experience with Rest Sharp and Rest Assured libraries for API automation testing. Develop and execute test automation frameworks using NUnit. Identify test scenarios, create test cases, and execute tests with a focus on data-driven validation. Familiarize with CI/CD pipelines and integrate automated tests in the deployment workflow. Demonstrate strong debugging and analytical skills to investigate test failures and data mismatches. Exhibit excellent communication and documentation skills for reporting test results and collaborating with cross-functional teams. What You'll Need Required: Bachelor’s degree in Computer Science, Information Technology, or a related field. Experience: 3 – 5 years Proven experience in manual testing with a focus on APIs. Proficient in SQL, Postman, and JavaScript for test automation. Experience with performance testing tools like JMeter. Familiarity with API automation testing libraries such as Rest Sharp and Rest Assured. Knowledge of NUnit for test automation framework development. Experience with CI/CD pipelines. Physical Demands Ability to safely and successfully perform the essential job functions Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Join our digital revolution in NatWest Digital X In everything we do, we work to one aim To make digital experiences which are effortless and secure, So we organise ourselves around three principles: engineer, protect, and operate We engineer simple solutions, we protect our customers, and we operate smarter, Our people work differently depending on their jobs and needs From hybrid working to flexible hours, we have plenty of options that help our people to thrive, This role is based in India and as such all normal working days must be carried out in India, Job Description Join us as a Quality Automation Specialist In this key role, youll be undertaking and enabling automated testing activities in all delivery models Well look to you to support teams to develop quality solutions and enable continuous integration and assurance of defect free deployment of customer value Youll be working closely with feature teams and a variety of stakeholders, giving you great exposure to professional development opportunities We're offering this role at associate vice president level What you'll do Joining us in a highly collaborative role, youll be contributing to the transformation of testing using quality processes, tools, and methodologies, significantly improving control, accuracy and integrity Youll be making sure repeatable, constant and consistent quality is built into all phases of the idea to value lifecycle at reduced cost or reduced time to market, Its a chance to work with colleagues at multiple levels, and with cross-domain, domain, platform and feature teams, to build in quality as an integral part of all activities, Additionally, youll be: Supporting the design of automation test strategies, aligned to business or programme goals Evolving more predictive and intelligent testing approaches, based on automation and innovative testing products and solutions Collaborating with stakeholders and feature teams and making sure that automated testing is performed and monitored as an essential part of the planning and product delivery Designing and creating a low maintenance suite of stable, re-usable automated tests, which are usable both within the product or domain and across domains and systems in an end-to-end capacity Applying testing and delivery standards by understanding the product development lifecycle along with mandatory, regulatory and compliance requirements The skills you'll need Were looking for someone with experience ofatlease seven years in automated testing, particularly from an Agile development or CI/CD environment Youll be an innovative thinker who can identify opportunities and design solutions, coupled with the ability to develop complex automation code, Youll have a good understanding of Agile methodologies with experience of working in an Agile team, with the ability to relate everyday work to the strategic vision of the feature team with a strong focus on business outcomes, Well also look for you to have: Experience in conducting end-to-end and automation testing along with the completion of testing governance activities such as developing test strategies, test plans, test completion reports, and managing TICRS documentation Technical understanding of how to test ETL transformations, data streaming pipelines, API calls, Microservices, UI elements and No-SQL databases using manual and automated techniques Excellent communication skills with the ability to communicate complex technical concepts to management level colleagues Ability to work closely with various stakeholders to ensure that the data is fit for purpose Show

Java Full Stack Developer Req number: R5844 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary Job Description Summary As the Full Stack Java Developer, you will participate in developing and implementing a proprietary in-house product for streaming media, sports and TV. You’ll collaborate with Product, Engineering, Business, and Innovation teams to help design and develop scalable, cloud-native applications. You’ll work with cutting-edge technologies and have the opportunity to see the results of your work in action for a global hospitality brand Job Description We are looking for a Full Stack Java Developer to d evelop with a forward-looking tech stack, including Node.js, Next.js, React, Java, and modern database technologies including SQL Server and NoSQL (Couchbase) . This position will be full-time and remote What You’ll Do Participate in the design and delivery of custom-developed full- stack solutions from concept through production. Develop with a forward-looking tech stack, including Node.js, Next.js, React, Java, and modern database technologies including SQL Server and NoSQL (Couchbase) Build for scalability, resiliency, and performance, always thinking enterprise-grade Contribute to testing and test automation in collaboration with QA engineers using Playwright and Jira with X-ray Leverage AI for efficiency and improved quality of code Follow development standards for best-in-class design, frameworks and code Leverage DevOps and automation as part of the development process Deliver appropriate, well-structured documentation for your deliverables What You'll Need Required: 7+ years of software engineering experience Expertise in Next.js, React, Java, and enterprise-scale full-stack development Experience building custom, proprietary products from scratch Highly desirable: experience with streaming platforms, TV solutions/applications Proven success designing and delivering scalable, maintainable solutions using microservices and cloud-native architectures (AWS or Azure) Experience with automated testing, unit testing, and CI/CD pipelines Experience working with and optimizing AI tools that support the development process, code reviews, and testing workflows A mindset of ownership, accountability, and innovation — with the business acumen to understand product impact A collaborative spirit and strong interpersonal skills to mentor, influence, and lead across disciplines Physical Demands Ability to safely and successfully perform the essential job functions Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Role Summary: We are looking for QA Automation Engineers with strong hands-on experience in Python and Selenium to automate functional and API test cases across a complex financial web application. Roles and Responsibilities: Develop and maintain automation scripts using Python and Selenium. Automate functional and API test cases across multiple modules and environments. Ensure timely test coverage aligned with sprint releases. Collaborate with developers and QA teams to troubleshoot and stabilize scripts. Handle data-driven testing using production-like test data and database queries. Required Skills and Qualifications: 3+ years of automation experience using Python and Selenium. Strong understanding of financial terminology (e.g., amortization schedules, balance sheets, P&L, loan processing). Hands-on experience with test execution across multiple environments. Familiarity with cross-browser automation (Chrome, Edge). Good understanding of Git, Jenkins, or any CI/CD pipelines. Ability to work in an agile environment with proactive issue resolution. Preferred Skills: Strong leadership and team mentoring abilities. Excellent problem-solving and debugging skills. Effective communication and stakeholder management. Organized, proactive, and results oriented.

We are seeking a visionary Principal DevOps Engineer to lead the transformation of our DevOps strategydriving innovation, automation, and cloud excellence with a strong focus on AWS technologies. You will spearhead efforts to modernize CI/CD pipelines, enhance cloud security and observability, and lead a DevOps culture that accelerates business growth and technical excellence. Key Responsibilities Architect and evolve scalable, secure AWS infrastructure for performance and efficiency. Lead DevOps engineers to implement cloud-native, fully automated environments. Define and enforce IaC best practices using Terraform, CloudFormation, or CDK. Enable self-service deployments for development teams. Modernize CI/CD pipelines using Jenkins, GitHub Actions, AWS CodePipeline, etc. Champion serverless and event-driven architecture using AWS Lambda and Step Functions. Implement Kubernetes (EKS/ECS) and microservices infrastructure for agility and resilience. Enhance observability using CloudWatch, Prometheus, Grafana, and AI-based tools. Embed DevSecOps into CI/CD and cloud workflows, ensuring robust security posture. Lead disaster recovery, high availability, and business continuity planning. Optimize AWS spend using FinOps principles without compromising performance. Build and scale AI/ML pipelines using Spark, Kafka, TensorFlow, PyTorch, Kubeflow, MLflow, Airflow, and AWS SageMaker. Research and adopt emerging DevOps and cloud technologies to drive innovation. Required Qualifications 8+ years in DevOps, Cloud Infrastructure, or SRE with proven transformation leadership. 6+ years of AWS hands-on experience (EC2, S3, RDS, Lambda, VPC, IAM, etc.). Expertise in IaC with Terraform, CloudFormation, or CDK. Advanced scripting skills in Python, Bash, or Go. Mastery of Kubernetes (EKS or custom clusters), Docker, and microservices architecture. Extensive CI/CD experience with Jenkins, GitHub Actions, GitLab CI/CD, AWS tools. Deep knowledge of observability tools (CloudWatch, Prometheus, Grafana, ELK). Strong cloud security, IAM policies, and compliance understanding. Proven leadership in DevOps cultural and technological transformation. Hands-on AI/ML pipeline experience using Spark, Kafka, TensorFlow, Kubeflow, SageMaker, etc. Preferred Qualifications AWS Certified DevOps Engineer Professional or AWS Solutions Architect Professional. Experience building large-scale serverless systems. Strong FinOps and AWS cost management knowledge. Experience with SRE practices and site reliability principles. Familiarity with AI-driven automation and self-healing infrastructure approaches.