5265 Redis Jobs - Page 27

Noida, Uttar Pradesh, India Engineering & Development BOLD is seeking a highly skilled professional to spearhead the development of cutting-edge browser automation technology for our ExpertApply product. You will play a key role in designing scalable automation frameworks, tackling challenges in bot detection, and optimizing system performance. You'll also be responsible for building and monitoring metrics to ensure system reliability and robustness. If you are passionate about large-scale automation and system reliability, we want to hear from you. Job Description ABOUT THIS TEAM This team is known as “Expert Apply” or the “Sonara” team. We own two areas of cutting-edge technology: advanced browser automation to scrape job application data,and generative AI services to answer job application questions. Our team’s mission is to make sure that job seekers never have to fill out a job application. WHAT YOU’LL DO Optimise existing code to improve performance and efficiency, ensuring the system can handle high traffic loads. Implement message handling to facilitate communication between different services. Develop web scraping solutions to gather and process data from various online sources. Analyze and troubleshoot software issues, providing timely resolutions to ensure system reliability. Collaborate with cross-functional teams to understand user requirements and translate them into technical specifications. Review and enhance code quality through thorough testing and code reviews. Stay updated with industry trends and emerging technologies, integrating best practices into the development process WHAT YOU’LL NEED Strong programming skills in Python like expertise in string manipulation and regular expression to effectively handle and process the text data during web scrapping and automation tasks. Deep understanding of OOP principles, including encapsulation, inheritance, and polymorphism, to design robust and maintainable software systems. Knowledge of common design patterns (e.g., Singleton, Factory, Observer) to enhance system design, imprve code reusability, and implement best practices in software architecture. Solid foundation in algorithms (sorting, searching, parsing) and data structures (lists, dictionaries, trees) to solve complex problems efficiently and effectively during software development. Proficient in identifying and manipulating HTML elements (DOM) for automated interactions, including forms, buttons, and links. Knowledge of XPath and CSS selectors for precise data extraction. Good understanding of how modern browsers function, including rendering engines, JavaScript engines, HTTP protocols, and browser APIs. Experience optimizing scraping strategies based on browser behaviour and performance. Experience with caching technologies (e.g. Redis, in-memory caching) Experience with messaging protocols (e.g. Azure service bus, Kafka, RabbitMQ) working knowledge and proven experience in containerization using Docker. Understanding of DevOps practices and CI/CD pipelines. Excellent communication skills and the ability to collaborate across time zones Excellent analytical and problem-solving skills. Knowledge of cloud computing, Amazon Web Services or Microsoft Azure WHAT’S GOOD TO HAVE: Experience with web frameworks (e.g., FAST API, Flask, Django) Knowledge of web scraping methodologies and tools, including headless browser automation (e.g., Playwright, Selenium, Puppeteer), and familiarity with JavaScript execution within the scraping context. Proficient in writing tests for scraping scripts to ensure robustness, reliability, and maintainability, along with debugging techniques to troubleshoot any issues that arise during the execution of scraping processes. Knowledge of database systems (SQL and NoSQL). Knowledge of leveraging LLMs (e.g., GPT, BERT) to improve web page automation. Ability to utilize LLMs for natural language understanding tasks, such as extracting meaningful insights from pages or generating context-aware interactions. EXPERIENCE: Senior Software Engineer, Python- 4.5 years+ #LI-SV1 Benefits Outstanding Compensation Competitive salary Tax-friendly compensation structure Bi-annual bonus Annual Appraisal Equity in company 100% Full Health Benefits Group Mediclaim, personal accident, & term life insurance Group Mediclaim benefit (including parents' coverage) Practo Plus health membership for employees and family Personal accident and term life insurance coverage Flexible Time Away 24 days paid leaves Declared fixed holidays Paternity and maternity leave Compassionate and marriage leave Covid leave (up to 7 days) Additional Benefits Internet and home office reimbursement In-office catered lunch, meals, and snacks Certification policy Cab pick-up and drop-off facility About BOLD We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives. We Celebrate And Promote Diversity And Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.

Exp. 2 - 3 Years | New Delhi, India Key Responsibilities Set up and manage applications, databases, web servers (especially Nginx), and proxy servers in a Unix-based environment. Maintain and monitor a large number of servers with a goal of 0 downtime. Identify and respond to system vulnerabilities and security threats in real time. Perform regular server upgrades, patch management, and health checks. Implement and manage monitoring, logging, and alerting systems for infrastructure and applications. Ensure system compliance and security policies are enforced, with exposure to SOC 2 or similar compliance standards being a plus. Troubleshoot and resolve infrastructure issues promptly — even outside regular working hours when needed. Automate server and service provisioning where possible using shell scripts or tools like Ansible, Terraform, etc. Requirements Strong command over Unix/Linux systems and system-level troubleshooting. Solid experience in setting up and managing Nginx, MySQL/PostgreSQL, Redis, and other common services. Hands-on experience in server hardening, patching, and vulnerability management. Proficiency in scripting (Bash, Shell, or Python) for automation tasks. Experience with monitoring tools like Zabbix, Prometheus, Grafana, or similar. Familiarity with cloud platforms (AWS, DigitalOcean, GCP, etc.) and managing cloud infrastructure. Experience working with compliance tools or frameworks like SOC 2, ISO 27001, etc. (preferred but not mandatory). Strong troubleshooting skills and the ability to fix critical issues on the fly. Flexibility in work hours for emergency incident handling. Nice to Have Experience with container technologies (Docker, Kubernetes). Exposure to CI/CD pipelines and version control systems like Git. Knowledge of firewall and network configurations.

Job Title: Software Engineer – Core Java, Virtualization & Cloud Native Platforms Employment Type: Full-Time Experience: 4 to 8 Years Education: BE/ME in Computer Science, Electronics, or equivalent Job Summary We are looking for a highly skilled and experienced Software Engineer with a strong foundation in Core Java, Groovy, and virtualization technologies, combined with a solid understanding of cloud-native platforms and distributed systems. The ideal candidate should be passionate about software development and infrastructure automation, and capable of contributing to the design, development, and delivery of scalable IT infrastructure solutions. Key Responsibilities Design, develop, and implement robust software solutions using Core Java and Groovy. Develop and integrate RESTful APIs to support infrastructure management products. Work on virtualization technologies including VMware and related ecosystems. Develop and deploy applications on cloud-native platforms such as Kubernetes and Docker. Build scalable and distributed applications using caching systems like Redis and messaging platforms like RabbitMQ and Kafka. Collaborate with cross-functional teams in an Agile development environment. Participate in the development of infrastructure management and storage solutions including backup and clustering. Support and enhance REST API-based products used for data center and IT infrastructure management. Must-Have Qualifications4–8 years of professional experience in the IT/software industry. Strong expertise in Core Java and Groovy. Solid understanding of object-oriented design and virtualization concepts. Hands-on experience with RESTful APIs and their integration. Minimum 2 years of experience working on data center/IT infrastructure management software products. Familiarity with VMware and other virtualization ecosystems. Good-to-Have Skills Knowledge of Python and Go Lang. Experience with cloud-native application development. Familiarity with storage clustering, backup software, and ISVs. Understanding of distributed caching, and experience with Redis or similar tools. Knowledge of Agile methodologies and tools used in Agile workflows. Preferred Tools & Technologies Languages: Java, Groovy, Python, Go Cloud & Containers: Kubernetes, Docker Messaging: RabbitMQ, Kafka Caching: Redis Virtualization: VMware, VirtualBox DevOps & APIs: REST, Git, Jenkins

Job Title: Java Developer Department: Technology / Engineering Reports To: Engineering Manager / Technical Lead Employment Type: Full-Time Role Purpose: We are seeking a skilled and experienced Java Developer to design, develop, and maintain high-performance, scalable applications. The ideal candidate will have solid hands-on experience with Java, Spring Boot, REST APIs, Microservices, and database management. Key Responsibilities: Design, develop, test, and maintain robust Java applications. Build and integrate RESTful APIs with third-party services. Implement and maintain Spring Boot and Microservices architecture. Work with SQL/NoSQL databases and optimize query performance. Write clean, scalable, and maintainable code adhering to best practices. Collaborate with front-end developers, QA engineers, and DevOps teams. Debug, troubleshoot, and resolve issues to ensure optimal performance. Apply security best practices across application layers. Participate in code reviews, ensuring high code quality and performance. Develop and execute unit and integration tests for continuous delivery. Required Skills:✅ Proficiency in Java 8+. ✅ Experience with Spring Boot, Spring MVC, Spring Security. ✅ Knowledge of Microservices architecture and distributed systems. ✅ Strong understanding of REST APIs, JSON, and web services. ✅ Proficiency in SQL (MySQL, PostgreSQL, Oracle) or NoSQL (MongoDB, Redis). ✅ Hands-on with Hibernate/JPA for ORM-based data access. ✅ Experience working with message brokers like Kafka or RabbitMQ. ✅ Solid understanding of multithreading and concurrency in Java. ✅ Exposure to CI/CD tools (Jenkins, Docker, Kubernetes). ✅ Version control using Git, GitHub/GitLab. ✅ Familiarity with cloud platforms (AWS, Azure, GCP) – preferred. Nice-to-Have Skills: Knowledge of front-end frameworks: React, Angular, or Vue.js. Experience with GraphQL. Proficiency in TDD/BDD using JUnit, TestNG. Hands-on experience with containerization (Docker, Kubernetes). Qualifications: Bachelor's/Master’s degree in Computer Science, Information Technology, or a related field. 2–6 years of experience in Java backend development. Personal Attributes: Strong problem-solving and analytical skills. Excellent communication and teamwork. Self-motivated, detail-oriented, and able to work independently.

Purpose of the Job As a Senior Software Engineer at Airtel Payments Bank, you will play a key role in designing, developing, and delivering robust backend solutions that power our digital banking services. You will work in a cross-functional Agile/Scrum environment, contributing to the development of high-performance, scalable, and secure systems. We value engineers who are not only technically strong but also collaborative, business-aware, and customer-obsessed. You will be expected to take technical ownership, mentor junior developers, and lead by example in coding practices, system design, and problem-solving. This role is ideal for engineers who thrive in fast-paced, innovative environments and are passionate about building next-generation digital banking products Roles and Responsibilities Design and build robust, scalable backend applications. Manage execution of features and projects within your team. Mentor engineers through code reviews, design discussions, and knowledge sharing. Apply strong object-oriented design skills, design patterns, clean code principles, and scalable architecture practices. Drive the end-to-end technical design, development, testing, and deployment of backend services and APIs. Collaborate with stakeholders to measure the impact of delivered features and proactively iterate to improve them. Create High-Level Design (HLD) and Low-Level Design (LLD) for high-volume, low-latency, and highly available systems. Requirements Excellent coding skills with the ability to translate design into clean, maintainable code. Proficiency in at least one general-purpose programming language and framework (e.g., Java, Spring Boot, C, C++). Strong experience in writing scalable, unit-testable code using modern tech stacks. Hands-on experience with SQL and NoSQL databases. Familiarity with event streaming platforms such as Kafka. Solid understanding of data structures, algorithms, and system design. Passion for solving complex real-world problems and debugging intricate issues to identify root causes and implement effective solutions. Experience with observability tools including logging, tracing, and monitoring (e.g., ELK stack, Prometheus, Grafana). A proactive, go-getter attitude with high ownership of assigned tasks. Ability to create and maintain technical documentation aligned with industry standards. Education Bachelors or Masters degree in Computer Science, Engineering, or a related technical field. Experience 6 to 9 years of relevant software development experience.

Job Title: Sr. Hardware Engineer (Full Stack) Location: Sector 62, Gurugram, Haryana 122101 Employment Type: Full-time Experience Level: Required Experience, 5–7 years Apply Now - hr@enlog.co.in About Us: At Enlog, we are redefining energy management with innovative technology that helps businesses and communities reduce energy waste and embrace sustainable practices. As a vibrant startup, we offer a dynamic work culture, meaningful learning experiences, and the opportunity to contribute to a greener planet. About the Role: We are looking for a visionary Senior R&D Leader to spearhead the design, development, and scaling of all hardware and embedded systems across Enlog’s electricity management verticals — from household-level edge devices to discom-grade grid infrastructure. This role will define the future of decentralized energy intelligence in India, owning the entire hardware and firmware stack for products like Enmate, EnPro, and newer grid-scale innovations. You’ll lead a cross-disciplinary team of hardware engineers, firmware developers, and embedded ML scientists to build the most advanced, compact, and intelligent power monitoring systems in the market. Key Responsibilities Lead End-to-End Hardware & Firmware Development Architect embedded energy monitoring devices for unit tracking, phase balancing, grid laxity, and predictive safety. Own circuit design, sensor selection, PCB development, and firmware delivery. Evaluate and integrate CTs, power ICs, digital sensors, BLE mesh, sub-GHz, and high-speed ADCs. Take hardware from prototyping to mass manufacturing with rigorous validation infrastructure. Establish a data communication subsystem team to explore Wi-SUN, 6LoWPAN, BLE mesh, and more. Build and Manage a High-Impact R&D Team Hire and lead a team of: Analog/Digital Hardware Engineers Firmware Developers (ESP-IDF, OTA, low-power systems) Embedded ML Engineers (for NILM, edge waveform analytics) Align team for independent execution, structured innovation, and design–production collaboration. 3. Lead Strategic R&D for Grid-to-Edge Solutions Own end-device strategy across: Consumption: Real-time kWh/kVAh, voltage dip, phase loss detection. Distribution: Transformer/fuse monitoring and AI-based laxity detection. Transmission: Fault line analytics, demand–supply forecasting sensors. Design modular hardware platforms that scale across use cases. 4. Collaborate with CTO & Cloud Engineering Work closely with the CTO to define all backend ↔ firmware integrations. Coordinate with the cloud team on: OTA and secure provisioning Real-time MQTT + REST APIs Kafka → Redis → ClickHouse architecture compatibility 5. Ensure Reliability, Compliance, and Manufacturing Scale Define and enforce test plans: EMI, thermal, overload, real-world stress testing. Own CE, BIS, and IEC compliance across all SKUs. Optimize for Design for Manufacturability (DFM) and Design for Testability (DFT). 6. Explore, Innovate, Lead Stay ahead in: Sensing: TMR, Rogowski, Hall-effect, hybrid multi-sensor designs. Communication: Wi-SUN, NB-IoT, BLE mesh, Sub-GHz ML: Edge-based appliance disaggregation, waveform anomaly detection Launch high-impact PoCs with discoms, industrials, and smart infra partners. Requirements 5-7 years of hands-on experience in embedded hardware + firmware development. Proven track record of shipping production-ready IoT devices at scale. Strong expertise in power electronics, energy metering, and wireless protocols. Experience with firmware–cloud integration and OTA. Exposure to AI/ML in embedded systems is a strong plus. Prior experience leading hardware/embedded teams or founding early-stage hardware projects is highly desirable. Nice to Have Experience with IoT platforms or edge computing Knowledge of Linux-based systems and scripting (Python/Bash) Familiarity with cloud integration (MQTT, REST APIs) Prior experience in a fast-paced startup environment

As a Product Engineer, you will lead the Architecture and development of one or more critical components/services within our platform. They will play an important role in lifecycle of the project, from ideation and design through to development, testing, documentation, and deployment. You will also guide the technical direction of the team, set coding and quality standards, and ensure that the solutions we build align with Sprinklr’s business and technical strategies. What You’ll Do • Lead Design and Architecture: Architect, design, and develop highly scalable and robust software solutions, leveraging your deep technical expertise in backend systems. • Ownership of Full Project Lifecycle: Drive projects from conception through implementation, testing, deployment, and maintenance. • Mentor and Develop Talent: Guide and mentor junior engineers, promoting best practices in architecture, design, coding standards, and agile methodologies. • Collaboration Across Teams: Work collaboratively with geographically distributed teams in a highly collaborative and ever-evolving environment. Engage with product managers, engineers, and business leaders to deliver impactful products. • Adhere to Engineering Standards: Ensure adherence to standard software engineering practices and advocate for coding excellence and continuous improvements. • Drive Innovation: Push boundaries with creative solutions and adopt emerging technologies that can solve complex problems or enhance platform performance. • Communicate Technical Decisions: Clearly articulate architectural challenges, solutions, and opportunities to technical and non-technical stakeholders, including senior leadership. What Makes You Qualified • Educational Background: B.Tech or M.Tech in Computer Science or equivalent, with an excellent academic record. • Extensive Development Experience: 5+ years of experience in software development, primarily in backend systems. • Proficiency in Key Technologies: Expertise in Java, NodeJS, or Scala and relevant frameworks. • Data Expertise: Experience working with MySQL, Redis, Cassandra, DynamoDB, MongoDB, Kafka, and similar technologies • Scalable Systems Knowledge: Proven experience in designing, building, and evolving largescale, complex software projects. • Cloud Expertise: Hands-on experience in developing scalable Cloud-based services on AWS or Azure. • Problem-Solving Prowess: Strong programming skills with a focus on solving technical challenges and delivering elegant solutions. • Adaptability and Curiosity: Ability and interest in quickly learning new technologies and adapting to new environments. • Leadership and Mentorship: A self-starter with a proven ability to lead, mentor, and inspire junior team members. • Collaboration and Communication: Strong team player with excellent verbal and written communication skills, able to work across geo-distributed teams.

Role Overview As a Backend Developer at LearnTube.ai, you will ship the backbone that powers 2.3 million learners in 64 countries—owning APIs that crunch 1 billion learning events & the AI that supports it with <200 ms latency. What You'll Do At LearnTube, we’re pushing the boundaries of Generative AI to revolutionise how the world learns. As a Backend Engineer, you will be building the backend for an AI system and working directly on AI. Your roles and responsibilities will include: Ship Micro-services – Build FastAPI services that handle ≈ 800 req/s today and will triple within a year (sub-200 ms p95). Power Real-Time Learning – Drive the quiz-scoring & AI-tutor engines that crunch millions of events daily. Design for Scale & Safety – Model data (Postgres, Mongo, Redis, SQS) and craft modular, secure back-end components from scratch. Deploy Globally – Roll out Dockerised services behind NGINX on AWS (EC2, S3, SQS) and GCP (GKE) via Kubernetes. Automate Releases – GitLab CI/CD + blue-green / canary = multiple safe prod deploys each week. Own Reliability – Instrument with Prometheus / Grafana, chase 99.9 % uptime, trim infra spend. Expose Gen-AI at Scale – Publish LLM inference & vector-search endpoints in partnership with the AI team. Ship Fast, Learn Fast – Work with founders, PMs, and designers in weekly ship rooms; take a feature from Figma to prod in What makes you a great fit? Must-Haves 2+ yrs Python back-end experience (FastAPI) Strong with Docker & container orchestration Hands-on with GitLab CI/CD, AWS (EC2, S3, SQS) or GCP (GKE / Compute) in production SQL/NoSQL (Postgres, MongoDB) + You’ve built systems from scratch & have solid system-design fundamentals Nice-to-Haves k8s at scale, Terraform, Experience with AI/ML inference services (LLMs, vector DBs) Go / Rust for high-perf services Observability: Prometheus, Grafana, OpenTelemetry About Us At LearnTube, we’re on a mission to make learning accessible, affordable, and engaging for millions of learners globally. Using Generative AI, we transform scattered internet content into dynamic, goal-driven courses with: AI-powered tutors that teach live, solve doubts in real time, and provide instant feedback. Seamless delivery through WhatsApp, mobile apps, and the web, with over 1.4 million learners across 64 countries. Meet The Founders LearnTube was founded by Shronit Ladhani and Gargi Ruparelia, who bring deep expertise in product development and ed-tech innovation. Shronit, a TEDx speaker, is an advocate for disrupting traditional learning, while Gargi’s focus on scalable AI solutions drives our mission to build an AI-first company that empowers learners to achieve career outcomes. We’re proud to be recognised by Google as a Top 20 AI Startup and are part of their 2024 Startups Accelerator: AI First Program, giving us access to cutting-edge technology, credits, and mentorship from industry leaders. Why Work With Us? Role At LearnTube, we believe in creating a work environment that’s as transformative as the products we build. Here’s why this role is an incredible opportunity: Cutting-Edge Technology: You’ll work on state-of-the-art generative AI applications, leveraging the latest advancements in LLMs, multimodal AI, and real-time systems. Autonomy and Ownership: Experience unparalleled flexibility and independence in a role where you’ll own high-impact projects from ideation to deployment. Rapid Growth: Accelerate your career by working on impactful projects that pack three years of learning and growth into one. Founder and Advisor Access: Collaborate directly with founders and industry experts, including the CTO of Inflection AI, to build transformative solutions. Team Culture: Join a close-knit team of high-performing engineers and innovators, where every voice matters, and Monday morning meetings are something to look forward to. Mission-Driven Impact: Be part of a company that’s redefining education for millions of learners and making AI accessible to everyone. Skills:- Python, FastAPI, Amazon Web Services (AWS), MongoDB, CI/CD, Docker and Kubernetes

We are seeking Java developers with expertise in Spring Boot and Microservices for building Java applications, including back-end services and client-end counterparts. Responsibilities include designing, developing, and coordinating with team members to ensure product quality. Requirements & Responsibilities: 3+ years of experience with Spring Boot, and Microservices . Proficient in Java 8 (Lambda, Stream, Optional), J2EE, JavaScript, Microservices, Spring Cloud, Hibernate, Webservices, HTML, CSS, XML, JSON. Experience with cloud deployment, Spring Cloud Config, Spring Session, Spring Security. Ability to write unit and integration tests. Knowledge of OOP and Software Development Life Cycle. Excellent communication and collaboration skills. Desired skills: Redis, Elastic Search, Eureka, Zuul, Kubernetes, Spring Actuator, Spring Cloud Config, Spring Batch, Hystrix. Qualifications: Ability to support and maintain applications with minimal supervision. Good Communication Skills. Motivated, initiative-taking, and team-oriented. Location: Kochi/Remote Job Types: Full-time, Permanent Pay: Up to ₹50,000.00 per month Benefits: Work from home Application Question(s): What is your current CTC? What is your expected CTC? Notice Period? Experience: Spring Boot: 3 years (Required) Microservices: 3 years (Required) Work Location: In person

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Customer Success Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. About Heroku Heroku is a AI Platform as a Service (AI PaaS) part of the Salesforce Unified Agentforce Platform. It is based on a managed container system for building, running, and managing modern apps in the cloud. Our app platform gives users the flexibility to use their preferred language or framework, as well as popular architectural patterns like microservices. It supports several programming languages, including Ruby, Java, Node.js, Python, .NET, Scala, Clojure, PHP, and Go. Heroku is one of world’s leading PaaS platforms, powering over 65 million apps, processing more than 65 billion routing requests per day, offering 200+ add-on services, and managing over 38 million data stores. Job Responsibilities As a Technical Support Engineer for Heroku, you will be crucial in providing top-notch technical support to our customers, ensuring the smooth operations and optimal performance of their applications on the Heroku platform. Act as the primary point of contact for customers, addressing and resolving technical issues related to the Heroku platform. Work closely with other teams, such as engineering, product management, and sales, to address customer issues, provide feedback, and contribute to product improvements. Provide expert-level support to customers, including troubleshooting complex issues, resolving technical problems, and offering guidance on best practices for using Heroku products and services. Create and maintain comprehensive documentation, knowledge base articles, and troubleshooting guides to empower customers and the support team to enhance the overall support experience. Provide guidance and mentorship to junior support engineers, helping them develop their skills and knowledge. Required Qualifications 3+ years’ of customer facing technical support experience with cloud platforms, especially Heroku, AWS, Azure, or Google Cloud Platform. Experience with programming languages such as Ruby, Python, Java, Node.js, or Go. Knowledge of containerization technologies such as Docker and Kubernetes. Strong knowledge of web technologies, including HTTP, SSL, DNS, and REST APIs. Knowledge of web frameworks like Rails, and Django. Familiarity with databases, both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis). Experience working with logging and monitoring tools (e.g., Papertrail, Splunk, New Relic) Familiarity with CI/CD pipelines. Proven expertise in managing Sev0 and Sev1 incidents, coordinating cross-functional responses, and ensuring timely communication to minimize business impact. A customer-centric mindset with excellent communication and interpersonal skills. Demonstrated ability to empathize with customers and provide a positive support experience. Proven ability to analyze complex technical issues, identify root causes, and implement effective solutions promptly. Strong collaboration skills to work effectively with cross-functional teams, including engineering, product management, and other support teams. Experience in mentoring and training junior team members. Strong verbal and written communication skills, with the ability to explain technical concepts. Ability to create and maintain clear and concise documentation to assist customers and internal teams. Previous experience in customer facing technical support, ideally in a cloud computing or platform-as-a-service (PaaS) environment. Preferred Qualifications In-depth knowledge and hands-on experience with Heroku application deployment and configuration. Proficiency in troubleshooting and resolving issues related to the Heroku runtime environment. Understanding of dyno scaling, application performance optimization, and resource management on Heroku. Familiarity with add-ons, buildpacks, and environment variables on the Heroku platform. Additional Information This role requires working in shifts, including night shifts and weekend shifts. Shifts can change based on business requirements. This role requires being part of a weekend on-call rotation to assist customers with high-severity incidents. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Job Location: Madurai Job Experience: 10-20 Years Model of Work: Work From Office Technologies: Java SpringBoot Functional Area: Software Development Job Summary: Job Title: Java Technical Lead Location: Madurai (Onsite / Hybrid – specify if applicable) Experience: 10 to 20 Years Notice Period: Immediate to 30 Days Preferred About TechMango TechMango is a leading IT Services and SaaS product development company, committed to driving business growth through digital innovation, cloud transformation, and next-gen engineering solutions. We are looking for a Java Technical Lead to join our high-performing engineering team in Madurai to build scalable enterprise applications and cloud-native platforms. Role Overview As a Java Technical Lead, you will lead the design, development, and deployment of enterprise-grade applications using modern Java technologies. You will mentor a team of developers, ensure best practices in coding and DevOps, and contribute to high-impact digital transformation projects. Key Responsibilities: Lead technical architecture, design discussions, and development using Java 8+, Spring Boot, and Microservices architecture. Build and maintain cloud-native applications on AWS or Azure using best DevOps practices. Drive development with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes preferred). Collaborate with cross-functional teams including UI/UX, QA, DevOps, and business analysts. Conduct code reviews, provide technical guidance, and ensure adherence to development best practices and coding standards. Optimize application performance and scalability with tools and profiling methods. Champion Agile/Scrum methodologies and take full ownership of deliverables. Required Skills & Expertise: Strong expertise in Core Java 8+, OOPs, Collections, Multithreading, and Concurrency Deep hands-on knowledge in Spring Boot, Spring MVC, Spring Security, Spring Cloud Experience with RESTful APIs, JSON, JWT, OpenAPI / Swagger Strong experience in Microservices architecture and patterns (e.g., service discovery, fault tolerance, API gateway) Cloud experience with AWS (EC2, S3, RDS, Lambda) or Azure (App Services, CosmosDB, AKS) Familiarity with CI/CD tools: Jenkins, GitLab CI, Bitbucket Pipelines Experience with Build Tools: Maven, Gradle Proficient in DevOps tools: Docker, Kubernetes, Helm (preferred), Terraform (bonus) Strong in SQL/NoSQL databases: MySQL, PostgreSQL, MongoDB, Redis Experience with Unit Testing & Mocking Frameworks: JUnit, Mockito Familiar with Monitoring & Logging tools: ELK Stack, Prometheus, Grafana, CloudWatch Good understanding of design patterns, clean code practices, and performance tuning Additional Nice-to-Have Skills: Knowledge of Kafka / RabbitMQ / ActiveMQ for messaging Experience in Reactive programming (Spring WebFlux, Project Reactor) Exposure to GraphQL, gRPC Familiarity with API security & OAuth2 Knowledge of SonarQube, Snyk or static code analysis tools About our Talent Acquisition Team: Arumugam Veera leads the Talent Acquisition function for both TechMango and Bautomate - SaaS Platform, driving our mission to build high-performing teams and connect top talent with exciting career opportunities. Feel free to connect with him on LinkedIn: https://www.linkedin.com/in/arumugamv/ Follow our official TechMango LinkedIn page for the latest job updates and career opportunities: https://www.linkedin.com/company/techmango-technology-services-private-limited/ Looking forward to connecting and helping you explore your next great opportunity with us!

Why We Need You! Site Reliability Engineering (SRE) is a growing team that partners closely with Product Engineering, Security, and Support. We are responsible for the reliability, deployment, and continuous operation of the Ivanti Cloud services. We need your help to take our existing platform to the next level with observability, release automation, chaos engineering, and more. The Senior SRE role is a blend of infrastructure, networking, operating systems, automation, development, and application administration. It is a hands-on technical position in a fast-paced atmosphere. The ideal candidate has prior experience managing cloud-based SaaS applications and strives to solve traditional operations problems through automation and software. More so, the candidate must possess a high standard of excellence, have a strong customer focus, and is capable of technical deep dives into code, app servers, databases, load balancers, operating systems, and networks. What You Will Be Doing Deploying, managing, and securing Ivanti's production Software-as-a-Service (SaaS) environments in AWS and Azure Working with geographically dispersed, cross-departmental teams to solve difficult problems Automating common and repetitive tasks Write documentation and training material Train other colleagues. Participate in on-call rotations for 24x7 coverage (follow-the-sun model) for incident response, issue triage, and problem resolution Work 4 x 10 hour days (Friday through Monday, 8 AM to 7 PM India Standard Time) To Be Successful in The Role, You Will Have A BSc in Computer Science, a related field, or equivalent practical experience 3+ years of relevant industry experience (2+ with an achieved BSc in Computer Science or Equivalent Degree) Proficiency with Python and experience with one of the following languages: Java Golang C# Proficiency working with Bash or PowerShell programmatically Familiarity with public cloud platforms (AWS or Azure preferred) Experience troubleshooting Java and .NET applications Experience troubleshooting network and storage infrastructure issues Experience working with core Linux distributions (Debian, RHEL, SUSE, Slackware). Experience working with Windows. Experience working with one or more: SQL Server, PostgreSQL, Redis, Kafka, MongoDB, Elasticsearch, or similar Ability to configure and fine tune at least one: HA Proxy, Apache, Nginx, IIS, or similar Ability to configure: New Relic, DataDog, Splunk, or similar monitoring tools Familiarity with container orchestration technologies (AWS EKS or Azure AKS preferred) Experience with deployment pipeline tools such as Ansible, Jenkins, and/or GitHub Actions Proficiency working and developing Infrastructure as Code (IaC) A desire to adopt and implement emergent technologies and best practices Strong verbal and written communication skills in English for the purposes of global collaboration 'Nice-to-haves' include: Prior experience as a Site Reliability Engineer or DevOps Engineer Certificates in one or more of the following categories, or demonstrated certificate-equivalent knowledge: Cloud Development and architecture Kubernetes Administration Linux Administration Software engineering disciplines Experience with compliance frameworks such as SOC 2 Type 2, ISO-27001, FedRAMP, or IRAP and privacy regulations such as GDPR and PIPEDA Roadmap for Success 90 Days: Onboarding and role-training is complete You're building foundational knowledge of the SRE-run product portfolio You hold general knowledge of how SRE manages our SaaS environments You've gotten to know the team and are building relationships with SRE peer teams 6 Months: Self-sufficiency in core job functions and existing processes Participating in SRE on-call rotations Contributing to handling SRE tickets to fulfillment and responsible for individual SRE tasks Active participation in SRE stability discussions with direct interaction with SRE peers 1 Year: Contribute independently to improve reliability and compliance in our SaaS environments Demonstrate ownership of SRE ticket management including triage and resolution Lead one or more well-defined projects under guidance from Senior SRE members Identify areas where performance, scalability, security, and reliability can be improved in production systems and environments

Company Description: We are a leading company in the area of industrial automations since 2017 in terms of Leakage Test, Flow Test, Vision Inspection Systems, Marking , Servo Pressing Applications , Conveyors and Assembly Automations. History The Company Newtech Test & Automation was founded in 2017 as a proprietorship firm that time we were developing only Leak Testing & SPM Machines, Jigs & Fixtures , Gauges & Assembly automations etc. Soon our customers came from different areas such as aerospace, EV Sector and medical industries then we have extended our portfolios into various categories like Data Logging, End of Line Inspections, Vision Systems & LabVIEW based Testers etc. In 2019 the company was transformed into Nyutech Test & Automation Pvt.Ltd. Role Role Description: This is a full-time on-site role located in Bengaluru for a PLC Programmer. The PLC Programmer will be responsible for developing, programming, Data Traceability and maintaining Python Language Programming, Programmable Logic Controllers (PLCs) for automated industrial machinery , including troubleshooting, and debugging PLC programs.& we prefer who will be having knowledge on LabVIEW program as well. Qualifications Diploma Or Bachelor's or Master’s degree in Electrical, Electronics, or Computer Science Engineering or a related field. Minimum of 3 years’ experience in Python Programming , Programmable Logic Controller Programming for Automated Industrial Machinery. RS232 and RS485 TO MODBUS TCP Communication. Develop and maintain RESTful APIs using Python (FastAPI/Tornado) Translate business requirements into scalable technical solutions Integrate with RDBMS/cloud databases (Postgres, Clickhouse, MS SQL, Snowflake) Data Science & Machine Learning (Good-to-have): Knowledge of data science and machine learning concepts and tools, particularly Python libraries like NumPy, Pandas, TensorFlow, or PyTorch, is an advantage, especially for specialized roles in these areas Implement secure authentication and token-based access Collaborate with cross-functional teams in Agile setups Debug, troubleshoot, and optimize backend systems Use DevOps tools for version control, CI/CD, and package management Handle middleware, caching (Redis), and messaging systems (Kafka or RabbitMQ) Proficiency in PLC Software and Familiarity with HMI, SCADA, and other automation software. Skilled in PLC programming languages such as Ladder Logic, Function Block Diagram and Sequential Function Chart. Expert in Debugging and Troubleshooting, including knowledge of Electrical Circuits and components. Knowledge of PLC Hardware, Networks, and protocols such as EtherNet/IP, Modbus TCP, and PROFIBUS Experience with Siemens, Delta, Beckhoff, Allen Bradley, and Mitsubishi PLCs is preferred. Excellent problem-solving skills and analytical thinking skills. Strong attention to detail and commitment to quality. Experience in motor drive communication, Servo motor programming & pick place gantry etc. Experience on pneumatic cylinder & hydraulics cylinders logic, sensors, camera, scanner etc. Excellent communication skills and ability to work in a team environment. Software Development: Design, develop, and maintain high-quality software using Python. This includes both backend components and integrating user-facing elements. They build applications and features following best practices and coding standards. Debugging and Testing: Debug, test, and troubleshoot issues to ensure the smooth functioning of software applications and maintain code quality. They also participate in code reviews. Data Handling: Work with databases (like MySQL, PostgreSQL, or MongoDB) and implement data storage solutions. They may also be involved in creating large-scale data processing pipelines. Automation: Develop scripts and tools to automate repetitive tasks, improve efficiency, and streamline workflows. Collaboration: Collaborate with cross-functional teams (including project managers, designers, other developers, and stakeholders) to understand project requirements, define project goals, and deliver high-quality solutions. Learning and Adaptability: Stay updated with the latest industry trends, technologies, and best practices in Python development, demonstrating continuous learning and a positive mindset. Security: Implement security and data protection measures, such as authentication and authorization. Key skills and qualifications Proficiency in Python: A strong understanding of Python fundamentals, including syntax, data structures, object-oriented programming concepts (OOP), file handling, and exception handling. Web Frameworks: Experience with popular Python web frameworks like Django and Flask is highly valued, especially for web development roles. Database Management: Proficiency in database systems like MySQL, PostgreSQL, or MongoDB is essential for designing, implementing, and maintaining databases. Version Control: Familiarity with version control systems like Git is crucial for collaborating on projects and managing code changes effectively. Debugging and Testing Tools: Understanding of debugging tools and techniques to identify and fix bugs quickly, along with the ability to write unit and integration tests. Frontend Technologies: Knowledge of frontend technologies like HTML, CSS, and JavaScript is often required, particularly for full-stack developer roles. Familiarity with libraries or frameworks like React or Angular can be an advantage. Problem-Solving and Analytical Skills: Ability to analyze issues, design optimized algorithms, and write clean, efficient code to address complex problems. Communication and Collaboration Skills: Strong communication skills are essential for collaborating with team members, explaining technical concepts, and interacting with stakeholders. Cloud Platforms (Good-to-have): Familiarity with cloud platforms like AWS, Azure, or Google Cloud can be beneficial for deploying and managing applications in scalable environments. Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹400,000.00 per year Benefits: Cell phone reimbursement Food provided Health insurance Life insurance Provident Fund Work from home Schedule: Day shift Work Location: In person Speak with the employer +91 9148982973

Position: Tech Lead – Fintech Location: Bangalore Type: Full-Time Experience Required: 8+ Years CTC: Upto 25,00,000 LPA What We Do We are a fast-growing company specializing in fintech products and services. Our mission is to revolutionize the financial landscape by developing scalable, secure, and high-performance solutions tailored to meet the diverse needs of businesses. Products: We build cutting-edge fintech platforms for transaction management, banking APIs, risk management, and financial analytics. Our products simplify complex financial workflows, ensuring seamless operations for businesses. Services: Beyond our products, we offer customized fintech solutions, including payment integrations, financial workflow automation, compliance consulting, and security enhancements. Whether through our innovative products or specialized services, we empower clients to navigate the complexities of financial technology with confidence. Responsibilities ● Architect and develop robust, scalable, and high-availability fintech applications. ● Lead the entire software development lifecycle (SDLC) – from requirement analysis, system design, development, testing, deployment, and monitoring. ● Design, optimize, and scale databases (relational & NoSQL) for handling large volumes of financial transactions. ● Develop and integrate front-end applications using Angular and React, ensuring seamless and secure user experiences. ● Implement DevOps best practices – CI/CD pipelines, infrastructure as code (Terraform), and AWS cloud automation. ● Design secure microservices and API-driven architectures for fintech ecosystems. ● Ensure compliance with industry standards such as PCI DSS, ISO 27001, ISO 22301, and other regulatory frameworks. ● Work with security teams to enforce data encryption, authentication, authorization, and API security best practices. ● Bridge the gap between development teams and business stakeholders, translating technical challenges into business impact. ● Collaborate with product managers, designers, and stakeholders to align technical solutions with business goals. ● Monitor system performance, optimize application efficiency, and drive incident resolution. ● Mentor and lead a team of developers, fostering a culture of engineering excellence, accountability, and innovation. ● Provide technical leadership and strategic direction, ensuring the team is aligned with the company’s long-term vision. Requirements Must-Have Skills: ● Backend Development: PHP (Laravel), Node.js (Express/Nest.js), Django, GoLang. ● Frontend Development: Angular, React.js, Vue.js (preferred but not mandatory). ● Cloud & DevOps: AWS (EC2, S3, RDS, Lambda, IAM, VPC, CloudWatch), Terraform, Kubernetes, Docker . ● Database Expertise: MySQL, PostgreSQL, MongoDB, Redis; experience in handling high-traffic distributed databases. ● CI/CD & Automation: GitHub Actions, Jenkins, Docker, Kubernetes, Terraform. ● Microservices & Scalable Architecture: Experience in designing and deploying event driven, high-availability financial systems. ● Security & Compliance: Strong understanding of PCI DSS, ISO 27001, ISO 22301, GDPR, OAuth2, JWT, encryption, and fintech security best practices. ● Fintech Licensing & Regulations: Knowledge of PCI licensing processes, compliance audits, and financial data protection laws. ● Leadership & Communication: Ability to bridge the gap between developers and business stakeholders, translating complex technical concepts into business impact. Preferred Qualifications: ● Fintech Expertise – Experience in payments, banking APIs, ledgers, risk management, or transaction processing. ● Experience with Kafka, RabbitMQ, or event-driven architectures. ● Exposure to blockchain, smart contracts, or DeFi protocols is a plus. What We Offer ● A chance to work on impactful, real-world projects in the fintech space. ● A dynamic and collaborative work environment with opportunities to grow. ● Exposure to cutting-edge technologies and the opportunity to shape the future of financial technology. If you're a tech-driven leader who excels at both hands-on development and strategic decision-making, and you're passionate about building secure and scalable fintech solutions, we’d love to hear from you! Job Type: Full-time Pay: ₹1,500,000.00 - ₹2,500,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Application Question(s): Do you have 8 or more years of experience in software development, including recent experience as a tech lead or senior architect? Are you proficient in backend development with PHP (Laravel), Node.js (Express/Nest.js), Django, or GoLang, and have you architected scalable fintech applications? Do you have hands-on experience with AWS services (EC2, S3, RDS, Lambda, IAM, VPC, CloudWatch) along with Terraform, Kubernetes, and Docker for DevOps automation? Have you designed or implemented secure microservices architectures compliant with standards such as PCI DSS, ISO 27001, or ISO 22301? Is the offered CTC of up to ₹25,00,000 LPA acceptable to you for this full-time on-site role in Bangalore? Work Location: In person

Saviynt is an identity authority platform built to power and protect the world at work. In a world of digital transformation, where organizations are faced with increasing cyber risk but cannot afford defensive measures to slow down progress, Saviynt’s Enterprise Identity Cloud gives customers unparalleled visibility, control and intelligence to better defend against threats while empowering users with right-time, right-level access to the digital technologies and tools they need to do their best work. SAVIYNT LABS This opportunity is in the Saviynt Labs organization. We design, build and run the leading Enterprise Identity solutions. Our product teams innovate industry leading solutions. The engineering teams design, build and run SaaS software built on leading edge technologies. We focus on engineering excellence and we attract the best talent in our industry. Our cloud services are built on AWS, GCP and Azure with a global presence. Our customers love what we do and work with us to build the future customer experience at scale. What You Will Be Doing Participate in requirements analysis Collaborate with internal teams to produce software design and architecture Develop state-of-the-art enterprise identity cloud solutions Test and deploy applications and systems Revise, update, refactor and debug code Ability to start a program from scratch as well as maintain existing services Develop documentation throughout the software development life cycle Serve as an expert on applications and provide technical support Follow the true agile principles What You Bring 10+ years of software engineering experience Expert-level ability utilizing technologies such as Java, Spring Framework, REST and Microservices Strong Experience as a Java Engineer developing applications based on Security principles, cloud platforms (AWS, Azure, or Google Cloud) and Containerization (Docker, Kubernetes) Hands on experience with SQL, ElasticSearch, Redis, CI/CD; Groovy on Grails (a plus) Experience in increasing levels of responsibility managing application development, solution architecture, design and delivery, and process improvement Experience with unit, functional and system integration testing Extensive understanding of working in an agile environment utilizing Scrum and Kanban Experience with Git (GitHub/GitLab), automatic deployments, continuous integration Hands on experience using IntelliJ or Eclipse/My Eclipse IDE, writing Junit test cases, working with Maven/Ant Experience with AI development tools in SDLC such as Amazon Q, Github Copilot, Cursor, and similar productivity assistants If required for this role, you will: - Complete security & privacy literacy and awareness training during onboarding and annually thereafter - Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to): > Data Classification, Retention & Handling Policy > Incident Response Policy/Procedures > Business Continuity/Disaster Recovery Policy/Procedures > Mobile Device Policy > Account Management Policy > Access Control Policy > Personnel Security Policy > Privacy Policy Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us! Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

We think you also hate when travel app is giving you a headache, right? A slight misinformation can ruin the trip. That is exactly what we are tackling as t-fam! Making sure that our 50+ million users have the best experience in crafting their own adventure. Your Main Duties In Flying With Us Build and extend our backend code based on SOLID Principle and Clean Code Build APIs that serve our frontend apps – Benchmark and improve performance Maintain and extend our test suite Refactor and improve existing code to incorporate better patterns Document and write about the work Create unit test and implement self test to make sure the code is running well Assist technical lead to review and follow up code that have been developed. Mandatory Belongings That You Must Prepare Bachelor degree or equivalent, preferably in Computer Science/Information Technology 0-2 years of experience in backend development Experienced in using Golang and Java Experience working with RDBMS or NoSQL is a plus Experience working with Redis and Memcached is a plus Experience with Elastic Search Experience with CI/CD, TDD, Refactor/Rewrite system Experience with Event-Driven Architecture such as Kafka or RabbitMQ Experience with Git Flow Experience with Kubernetes is a plus Knows how to analyze log Experience with pair programming is a plus Experience with Linux syntax, Docker is a plus Good sense of prioritization and product knowledge/product ownership Critical thinking, fast learner, and excellent communication skills Well-motivated, responsible for the deadline, and can work under pressure In the event that you haven’t received any updates after 3 weeks, your data will be kept and we may contact you for another career destination. Meanwhile, discover more about tiket.com on Instagram , LinkedIn , or YouTube .

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Key Responsibilities Develop and maintain web applications using Java Spring Boot and Spring Cloud Design and implement user interfaces using HTML CSS JavaScript Angular and React Write and maintain unit tests using Junit and Mockito Deploy and manage applications on servers such as JBoss WebLogic Apache and Nginx Ensure application security Familiarity with build tools such as Maven and Gradle Experience with caching technologies like Redis and Coherence. Understanding of Spring Security. Knowledge of Groovy is a plus. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Qualifications Bachelors degree in Computer Science Information Technology, or a related field 6-10 years of experience in full stack development Proven track record of delivering high-quality software solutions. with Spring Security Collaborate with cross-functional teams to define, design, and ship new features.Troubleshoot and resolve issues in a timely manner. Stay updated with the latest industry trends and technologies. Required Skills Proficiency in HTML CSS and JavaScript. Strong experience with Java and Spring frameworks Spring Boot, Spring Cloud Hands-on experience with Angular and React. Knowledge of Junit and Mockito for testing. Experience with application servers like JBoss, WebLogic, Apache, and Nginx. Utilize build tools like Maven and Gradle for project management. Implement caching solutions using Redis and Coherence. Understanding of Spring Security. Knowledge of Groovy is a plus. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities.

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way . Job Description Lead design and delivery of scalable, distributed backend systems and real-time platform APIs using Java-based microservices Partner with Architects and Tech Leads to establish technical vision, system design, and longterm architecture Drive engineering excellence through code reviews, design reviews, observability, performance tuning, and SLAs Own end-to-end system reliability, scalability, cost, and maintainability. Manage, coach, and grow a team of backend engineers across levels Drive career development, technical mentoring, and regular 1:1s Foster a high-performance, inclusive culture grounded in ownership, autonomy, and accountability. Recruit and onboard exceptional engineering talent; collaborate with TA and interview panel on hiring strategy Drive sprint planning, estimation, and delivery across multiple squads or initiatives Partner with Product and Program Managers to align engineering execution with business goals Set and monitor engineering OKRs, team velocity, and project health metrics Work closely with Product, DevOps, QA, and Customer Support teams to ensure end-to-end solution delivery Represent Engineering in roadmap planning, executive reviews, and customer- facing discussions (when needed) What Makes You Qualified: 12+ years of total experience, with at least 2+ years in engineering leadership roles Deep experience designing, building, and operating Java-based microservices in cloud-native, distributed environments Strong understanding of backend architectural patterns Proven track record of building and scaling high-performing engineering teams Experience with Kafka, Redis, MongoDB/PostgreSQL, Spring Boot, Kubernetes, REST APIs, CI/CD pipelines Strong communication and stakeholder management skills Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.

Experience: 5+ years Job Description Proficient in back-end and front-end programming language Understanding of fundamental design principles behind a scalable application Proficient in Object oriented design and principles API design and development Creating database schemas that represent and support business processes. Ability to implement automated testing platforms and unit tests Proficient in implementing solution in Java thru. Spring Framework (MVC and Spring Boot) Proficient in building RESTful web services with JSON Endpoint. Proficient understanding of code versioning tools, e.g. GIT and SVN Familiarity with development aiding tools such as Maven, Gradle, Grunt, Gulp, etc. Must Have: Development and Deployment application on SAP BTP - Cloud Foundry SAP Cloud Application Programming Model (CAPM) Data modelling and Database designing thru. HANA DB and SAP Core Data Services (CDS) JPA and List Processor, ORM, CRUD operations (Create, Read, Update, Delete) Olingo OData Good to have: Client-side JavaScript & SAPUI5 Cronjobs and background jobs with tools like Gearman or libraries like Crunz. Knowledge about Caching with Redis, and similar powerful tools. SAP Certification in BTP Extensions, Build or Hana Cloud Know-how of BTP landscape setup, services configuration and troubleshooting thro application/system logs. Industry IT Services and IT Consulting Employment Type Full-time

Company: Uprety Capital Location: Remote / Hybrid (optional office visits in Cincinnati Ohio About Us Uprety Capital is a quantitative hedge fund specializing in high-frequency options strategies. We leverage cutting‑edge technology and deep market insights to generate alpha. The Role We’re seeking an exceptionally experienced Python engineer to debug, optimize, and extend our IBKR (TWS) algorithmic trading platform and Qt5 dashboard. If you thrive in low‑latency, multithreaded HFT environments, this is your opportunity to make an immediate impact. Key Responsibilities Debug & Fix our existing TWS algo: buy/sell logic, strike data feeds, trade lifecycle Enhance Dashboard (PyQt5): add “Kill All Trades” button, reset daily P&L, adjust time‑based metrics Optimize Performance : multithreading, concurrency controls, minimal latency Integrate IBKR API : ensure stable connectivity, order placement, real‑time fills Collaborate with quant researchers: translate strategy requirements into robust, maintainable code Must‑Have Qualifications 2+ years professional Python development experience Deep expertise with Interactive Brokers’ TWS API (ib_insync or native) Proven background in multithreading , asynchronous I/O, low‑latency systems Hands‑on with PyQt5 (or Qt for Python) for desktop GUI customization Familiarity with HFT patterns , order‑book handling, real‑time data feeds Strong debugging skills: profiling, logging, exception handling Nice‑to‑Have Experience with Docker/Kubernetes for deployment Background in financial engineering or algorithmic trading Knowledge of database caching (Redis, In‑memory stores) Why Join Us? Competitive freelance/day‑rate compensation Work alongside seasoned quants in a fast‑paced environment Flexible hours; deliver value on your schedule Opportunity to architect core trading infrastructure How to Apply If this sounds like your next challenge, please send your resume, GitHub/portfolio links, and a brief cover note highlighting: Your most complex Python debugging project TWS integration you’ve built Qt5 custom GUI work Only candidates with demonstrated Python & TWS expertise will be considered. Please email cv to nitdulal@upretycapital.com

As an integral part of the American Airlines family, you will have the opportunity to contribute to shaping the future of travel by joining our dynamic Tech Hub in Hyderabad, India. Embrace a world of possibilities as you immerse yourself in a tech-driven environment where innovation and excellence are celebrated. Your primary responsibilities will include writing, testing, and documenting technical work products in alignment with organizational standards. You will deliver high-quality work, coach team members on technical craftsmanship, and conduct root cause analysis to address systemic problems effectively. Your role will involve designing integrated systems that embody best practices, enabling teams across product domains to deliver value efficiently. You will oversee the management of technical debt and proactively identify opportunities to eliminate it within ongoing implementations. Anticipating challenges related to scaling, latency, and durability, you will guide teams in implementing strategies to mitigate these issues. Collaborating with the security organization, you will ensure the early incorporation of security-conscious practices in new systems. Furthermore, you will evaluate technical risks, develop prevention strategies, and collaborate across teams to enhance problem-solving capabilities. Building and maintaining strong relationships with engineering and product leaders, as well as key vendors, will be crucial in leveraging synergies within related organizations. You will translate technical strategy into implementable components within the relevant business area, emphasizing the removal of duplication and the promotion of reuse opportunities. To excel in this role, you must possess a Bachelor's degree in Computer Science or a related technical discipline, along with a minimum of 8 years of experience in designing and implementing large-scale solutions. Additionally, a Master's degree in a relevant field is preferred. Proficiency in programming languages such as Java, Python, and C#, frameworks like Spring and FastAPI, as well as front-end technologies including Angular and React, is essential. Experience with deployment technologies, source control, CICD pipelines, data management, integration/APIs technologies, and cloud providers will be advantageous. Your success will be further enhanced by your ability to optimize solutions for performance, resiliency, and reliability while maintaining simplicity. Strong communication skills, proficiency in object-oriented design principles, Agile methodologies, and DevOps practices are key requirements for this role. By combining your deep domain knowledge with evolving technologies, you will drive the technical capabilities of the organization forward. Join us on this exciting journey, where every day presents new opportunities to make a meaningful impact and propel technological innovation in the travel industry.,

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview Join Zynga's Mobile Game Tech division and have a remarkable impact on all the company's games! Are you passionate about full stack development and crafting seamless websites with scalable backends? This role is in our well-established Governance, Risk, and Compliance (GRC) team, which maintains high-value services and tools to ensure Zynga's global compliance. Based in Bengaluru, India at our Trinity studio, with a strong presence in Canada and North America. What You'll Do Write software and deploy it to cloud infrastructure, strictly following standard practices for code quality, documentation, testing, security, and automated deployments. Propose and successfully implement new fullstack software architecture designs. Coordinate with internal partners and customers to develop and rollout new features effectively. Lead and mentor the team, ensuring that standard methodologies are followed and ambitious goals are met. Evaluate and determine the best technologies and frameworks to be used in our projects. Collaborate in the design and implementation of world-class infrastructure solutions for our services and tools. Do quality Code reviews and ensure the services and releases stay stable and follow best practices What You Bring 7+ years of proven experience leading projects from inception to completion, breaking work into logical components, and delivering results as projected. 5+ years of hands-on experience with software programming using Golang. 5+ years of experience working with cloud infrastructure, specifically AWS. Preferably 5+ years of experience with software programming using React. Experience with SQL tables and SQL queries. Hands-on experience with NoSQL databases such as Redis and Elasticsearch. Practical knowledge of async programming patterns and queueing and pub/sub systems. Experience with infrastructure-as-code and continuous integration testing. A history of serving as a mentor to other engineers. What We Offer You Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga BenefitsWe are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position. Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).