11+ Fedora Jobs in Pune | Fedora Job openings in Pune

About QuestionPro:

QuestionPro is one of the leading market research platforms. We have a wide range of products in Market Research, Customer Experience, Employee Experience, Vehicle Experience. All our products are multi-tenant SAAS platforms built on the latest technologies.

Our infrastructure is spread across 6 Data Centers across the globe. The platform collects over 10Million Surveys every month. Our Customer Experience platform was named top provider in the Gartner Voice of the Customer Rankings. Ever since we launched in 2016, we have grown by over 200% YoY. All up we are on plan to hit $ 31M in 2021. We are bootstrapped and proud to get where we are without any funding or investments. 

Our operations are spread across the globe with offices in the US, Mexico, Germany, UK, UAE, and Canada. 

https://www.questionpro.com/blog/cx-top-provider-gartner-voc-rankings/

We are a bootstrapped company and proud to have not taken any funding or investment.

QuestionPro has a particularly exciting journey ahead, requiring a passionate individual to join our growing team. If you are a true technology craftsman and want to build cutting-edge software solutions, hit us!

We operate 100% remote. You will be working from any place you desire for this position.

Responsibilities

• You will be responsible for key deliverables that would help improve the quality and reliability of our infrastructure spread across 8 data centres, both cloud and hybrid. 
• Streamline Life Cycle Management activities for the Infrastructure.
• You will be interacting with DevOps & Support teams to quickly investigate and mitigate the problems impacting customers at various levels in the Infrastructure including MySQL Database and Engineered Systems technology stack. 

Skills & Requirements

   Must-Have:   

• 8+ years of experience in Linux System Administration / Development / QA roles with a thorough understanding of Software Development Life Cycle
• Excellent knowledge of Linux System administration activities
• A very good understanding of Linux kernel internals, Server Virtualization, Networking & Security layer
• Any experience in IO subsystem, Operating Systems, Storage technologies would be a definite plus
• Hands-on experience with automation of system administration activities
• Hands on experience in building OS images and testing based on standard test framework.
• Proven ability to triaging and resolve issues during patch testing & certification
• Experience in OEM, Linux OS Patching, Yum, KSplice, etc.
• Excellent Scripting skills in Bash, Perl, Python, or similar scripting languages

   Good To Have:

• Good experience on private cloud management. 
• Proxmox virtualization
• Ability to build and grow the team. 

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

We are seeking a highly skilled Senior Java Developer with expertise in Microservices architecture and Spring Boot to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying scalable, high-performance backend solutions.

Key Responsibilities:

• Design, develop, and maintain Java-based applications using Spring Boot and Microservices architecture.
• Develop and implement RESTful APIs and integrate them with front-end components.
• Optimize application performance and ensure high availability and scalability.
• Collaborate with cross-functional teams to gather and analyze business requirements.
• Implement security best practices, including authentication and authorization mechanisms.
• Develop and maintain unit and integration tests to ensure robust software quality.
• Work with DevOps teams to automate CI/CD pipelines and ensure smooth deployment processes.
• Monitor and troubleshoot production issues, providing efficient resolutions.
• Stay updated with emerging technologies and best practices in Java development and cloud-native applications.

Required Skills & Qualifications:

• 8+ years of hands-on experience in Java development.
• Expertise in Spring Boot, Spring MVC, Spring Cloud, and other Spring frameworks.
• Strong experience with Microservices architecture and API development.
• Proficiency in RESTful services, JSON, and Swagger/OpenAPI.
• Hands-on experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Redis).
• Familiarity with message brokers like Kafka or RabbitMQ.
• Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, or GCP).
• Solid understanding of CI/CD pipelines using Jenkins, GitLab, or similar tools.
• Strong problem-solving skills and the ability to work in an agile development environment.
• Excellent communication and teamwork skills.

Nice-to-Have:

• Experience with GraphQL and event-driven architecture.
• Knowledge of reactive programming using WebFlux.
• Familiarity with observability tools like Prometheus, Grafana, ELK stack.

We’re hiring a Full Stack Developer with strong hands-on experience in Java, Spring Boot, and Angular to join our growing tech team.

🔧 What You'll Do

• Design and develop scalable full stack web applications
• Write clean, maintainable code using Java (Spring Boot) and Angular
• Collaborate with cross-functional teams to deliver high-quality features
• Optimize applications for performance and security
• Participate in code reviews and technical discussions

✅ What We’re Looking For

• 5+ years of professional experience in full stack development
• Strong expertise in Java, Spring Boot, and Angular
• Solid understanding of REST APIs, Microservices, and frontend integration
• Knowledge of databases and version control (Git)
• Excellent problem-solving and communication skills
• Immediate joiners are highly preferred

About Company: 

Espressif Systems (688018) is a public multinational, fabless semiconductor company established in 2008, with headquarters in Shanghai and offices in Greater China, India, and Europe. We have a passionate team of engineers and scientists from all over the world, focused on developing cutting-edge Wi-Fi and Bluetooth, low-power IoT solutions. We have created the popular ESP8266 and ESP32 series of chips, modules, and development boards. By leveraging wireless computing, we provide green, versatile, and cost-effective chipsets. We have always been committed to offering IoT solutions that are secure, robust, and power-efficient. By open-sourcing our technology, we aim to enable developers to use Espressif’s technology globally and build smart connected devices. In July 2019, Espressif made its Initial Public Offering on the Sci-Tech Innovation Board (STAR) of the Shanghai Stock Exchange (SSE). 

Espressif has a technology centre in Pune. The focus is on embedded software engineering and IoT solutions for our growing customers.

About Role: 

https://rainmaker.espressif.com/">ESP RainMaker provides a complete solution to makers to develop connected devices with ease. It also focuses on solving a major challenge about how the quality of connected devices can be improved. It constitutes device-side SDK, mobile apps and a cloud application. This role requires product engineering for the web UI for the RainMaker cloud.

Minimum Qualification: 

• BE/B.Tech in Computer Science with 5 to 10 years of experience
• Strong Computer Science Fundamentals

• Excellent understanding of UX and design sensibilities

• Design, develop, and test UI for web applications
• Experience with one or more of these: React, Redux, Webpack, ES6, Async JS Communication, WebSockets
• Strong debugging and troubleshooting skills
  
  

Desired Qualification:

• Significant experience with JavaScript, React and Redux.
• Experience in consumption of cloud services and REST interfaces (implementation experience would be added advantage)
• Experience with CSS pre-processors like LESS or SASS
• Expertise with cross-browser, cross-platform, and responsive design
• Solid understanding of user interactions required for Single-Page Applications
• Experience with modern browser technologies

Responsibilities: 

• Designing and developing User Interface for web applications
• Write code based in HTML, CSS, JavaScript and ReactJS
• Accurately translate user and business needs into functional, secure and efficient frontend design and code
• Experience and desire to take product/feature ownership from delivery and customer support perspective
• Collaborate with backend and quality engineers to spec, write, test, and deploy code that integrates with data streams and API endpoints
• Utilise responsive design techniques and ensure cross-browser compatibility
• Perform code reviews and improve/ensure the quality of product

What to expect from our interview process

• The first step is to email your resume or apply to the relevant open position, along with a sample of something you have worked on such as a public GitHub repo or side project etc.
• Next, post shortlisting your profile recruiter will get in touch with you via a mechanism that works for you e.g. via email, phone. This will be a short chat to learn more about your background and interests, to share more about the job and Espressif, and to answer any initial questions you have.
• Successful candidates will then be invited for 2 to 3 rounds of the technical interview as per the previous round feedback.
• Finally, Successful candidates will have an interview with HR.

What you offer us

• Ability to provide technical solutions, support that fosters collaboration and innovation.
• Ability to balance a variety of technical needs and priorities according to Espressif’s growing needs.

What we offer

• An open-minded, collaboration culture of enthusiastic technologist.
• Competitive salary
• 100% company paid medical/dental/vision/life coverage
• Frequent training by experienced colleagues and chances to take international trips, attend exhibitions, technical meetups and seminars.