Deployment Pipelines Jobs in Pune

AI/ML Engineer Experience: 2 3 Years Education: BBA, BSc, BTech/BE, MSc, MTech, MCA Location: Pune About the Role We are seeking a passionate AI/ML Engineer to design, build, and scale production-grade AI systems that power our platform. You will work on real-world AI problems such as document intelligence, real-time voice AI, and intelligent job-to-candidate matching systems. This role requires strong hands-on experience in LLM engineering, backend development, and AI system productionization. Required Skills Python (FastAPI) LangChain, LlamaIndex OpenAI API, Anthropic Good to Have Postgres (Pgvector), Supabase Redis Docker LangSmith GitHub Actions Roles & Responsibilities Build Agentic Workflows: Design and deploy AI agents capable of reasoning and decision-making using LangChain or LlamaIndex. Develop Voice AI Systems: Build low-latency, real-time conversational voice bots for candidate outreach using WebSockets, STT, and TTS, ensuring effective context retention and state management. Engineer Data Pipelines: Create robust parsing systems that enforce strict JSON outputs from LLMs for resume data extraction, along with data cleaning pipelines for unstructured formats (PDF/DOCX). Implement Advanced RAG Systems: Develop retrieval pipelines using Pgvector or Pinecone with hybrid search (semantic + keyword) for accurate job-to-candidate matching. Productionize & Monitor AI Systems: Set up tracing and observability using LangSmith to debug chains, monitor token usage, and optimize performance and cost. Backend Integration: Package AI logic into scalable, asynchronous microservices using FastAPI and Docker. Technical Requirements 1. Generative AI & LLM Engineering Experience enforcing structured JSON outputs using function calling. Strong prompt engineering skills (Chain-of-Thought, Few-Shot). Hands-on experience orchestrating complex AI pipelines using LangChain or LlamaIndex. 2. Voice AI & Real-Time Processing Experience with STT/TTS APIs (e.g., Whisper, Deepgram). Strong understanding of WebSockets and async programming for real-time audio streaming. Ability to design conversation managers with memory and context handling. 3. Search & Data (RAG) Experience with vector databases such as Pgvector, Pinecone, or Qdrant. Expertise in chunking, cleaning, and ingesting unstructured data. 4. MLOps & Production Engineering Observability and tracing using LangSmith. Writing automated AI evaluation scripts to test prompts before deployment. Experience optimizing cost by balancing model performance and token usage. 5. Core Backend Engineering Strong Python skills with FastAPI. Proficiency in async/await patterns for concurrent processing. Experience with Docker and relational databases (SQL). 6. Machine Learning & Algorithms Understanding of recommendation systems (Collaborative Filtering, Two-Tower models). Experience with ranking and re-ranking techniques (LTR, Cross-Encoders). Familiarity with traditional ML models using Scikit-learn or XGBoost. The Applied Mindset We Value Model Strategy: Ability to choose the right model based on cost, latency, and intelligence requirements. Security First: Awareness of prompt injection and jailbreaking risks and strategies to mitigate them. Hallucination Control: Strong grounding techniques to ensure factual and reliable AI outputs. Tech Stack Overview Languages: Python (FastAPI) AI & Orchestration: LangChain, LlamaIndex, OpenAI API, Anthropic Voice AI: Deepgram, Twilio Databases: Postgres (Pgvector), Supabase, Redis DevOps & MLOps: Docker, LangSmith, GitHub Actions Qualification : BBA, BSc, BTech/BE, MSc, MTech, MCA

Node.js Developer Experience: 2 5 Years Education: BSc, BTech/BE, BCA, MSc, MTech, MCA Location: Pune About the Role We are seeking an experienced Node.js Developer to join our growing engineering team. The ideal candidate will have strong backend development expertise, a solid understanding of scalable architectures, and a passion for writing clean, maintainable code. You will play a key role in designing and building high-performance backend systems that support our business applications. Required Skills Node.js, JavaScript Express.js, LoopBack (NestJS exposure is a plus) REST API development MySQL or other relational databases Good to Have AWS or other cloud platforms CI/CD pipelines and deployment workflows Key Responsibilities Design, develop, and maintain scalable backend applications using Node.js. Architect backend solutions during the requirement and design phases. Build and integrate secure, high-performance REST APIs. Collaborate with cross-functional teams to improve system design and functionality. Ensure code quality, scalability, and adherence to best development practices. Perform code reviews and mentor junior developers. Deploy and manage applications on cloud platforms such as AWS or Azure. Troubleshoot, debug, and optimize backend services. Technical Requirements 2+ years of hands-on experience in backend development with Node.js. Proficiency with backend frameworks such as Express, LoopBack, or NestJS. Strong experience with relational databases (MySQL, PostgreSQL). Familiarity with NoSQL databases such as MongoDB or DynamoDB. Good understanding of scalable system architecture and design patterns. Experience with code quality tools such as ESLint, Prettier, and static analysis tools. Strong problem-solving skills and ability to translate business requirements into technical solutions. Experience working in collaborative, cross-functional teams. Nice to Have Experience with cloud platforms like AWS or Azure. Exposure to CI/CD tools and automated deployment pipelines. Experience managing production deployments and monitoring applications. Qualification : BSc, BTech/BE, BCA, MSc, MTech, MCA

Job Title: Senior Mobile App Developer Location: Pune We are looking for an experienced and highly skilled Senior React Native Mobile App Developer to lead the development of a cutting-edge mobile application. This role offers the opportunity to build the app from the ground up, with a focus on defining architecture, setting coding standards, and ensuring optimal performance and reliability. You will work closely with cross-functional teams, including product, backend, and design, to deliver a seamless, high-quality mobile experience across both iOS and Android platforms. Key Responsibilities: Lead the end-to-end development of a new mobile application using React Native for both iOS and Android. Define and implement the app architecture, coding standards, folder structure, dependency management, and reusable components. Collaborate with product managers and designers to translate business requirements into intuitive, responsive, and high-performing user interfaces. Securely integrate with backend services (REST APIs / GraphQL) and handle complex authentication flows. Ensure high app performance, responsiveness, offline capabilities, and compatibility across a variety of devices. Manage private and enterprise distribution processes: iOS Enterprise provisioning and distribution (Ad Hoc, MDM-based) Internal Android enterprise distribution (APK/AAB deployment) Experience with AppCenter, Firebase App Distribution, Intune, or AirWatch is a plus. Work with native code when necessary (Swift/Objective-C for iOS, Java/Kotlin for Android). Implement and maintain observability, crash analytics, and logging solutions (e.g., Crashlytics, Sentry). Perform code reviews, mentor junior developers, and enforce engineering best practices. Participate in release planning, versioning, and the management of continuous integration (CI) pipelines. What You Bring: 4+ years of mobile development experience, with at least 2+ years of hands-on experience in React Native, building production-grade applications. Strong proficiency in JavaScript and TypeScript, with a deep understanding of React concepts. In-depth knowledge of mobile app lifecycle management, including navigation, animations, gestures, UI rendering, and state management. Extensive experience with state management libraries (Redux, Recoil, Zustand, MobX, etc.). Solid understanding of both iOS and Android platform fundamentals, such as: Permissions and security management Push notifications integration Local storage and offline sync solutions (e.g., AsyncStorage, SQLite, MMKV) Familiarity with private enterprise app distribution workflows (outside of App Store/Play Store). Experience with CI/CD pipelines for mobile applications (e.g., Fastlane, AppCenter, Bitrise, GitHub Actions). Ability to work independently with a product-ownership mindset and strong collaboration skills. Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Nice to Have: Experience with Expo (managed or bare workflow). Experience developing or integrating native modules. Familiarity with deep linking, dynamic links, and integrating analytics SDKs. Knowledge of OTA (Over-the-Air) updates (e.g., CodePush, EAS, AppCenter). If you re passionate about building scalable, high-performance mobile applications and are ready to take ownership of a key product, we d love to have you on our team!

Job Title: Engineering Manager Order Management System (OMS) Location: Pune Role Overview: As the Engineering Manager Order Management System (OMS), you will be responsible for leading the design, development, and continuous evolution of a large-scale, distributed eCommerce platform. This platform processes high transaction volumes and integrates with complex third-party systems. You will manage a full-stack engineering team, ensuring system scalability, performance, and resilience while fostering a culture of ownership, technical excellence, and collaboration. Key Responsibilities: Own the full product lifecycle: Lead the conceptualization, architecture, design, implementation, deployment, and maintenance of the OMS and its integrations. Lead and mentor a team of 10+ engineers, guiding them through technical challenges and driving both backend and frontend development efforts to successful delivery. Architect scalable, distributed systems that handle high volumes of orders, inventory updates, and third-party data exchanges across the platform. Drive eCommerce integration strategy, collaborating with various systems including marketplaces, ERPs, WMS, payment gateways, and 3PLs to ensure robust data synchronization. Take technical ownership of both backend and frontend components, from database schema and API design to UI architecture and performance optimization. Establish and enforce engineering best practices, including coding standards, CI/CD workflows, observability, and security compliance, to ensure consistency and quality across the team. Be **hands-on** when necessary actively contributing to code, reviewing critical modules, and troubleshooting complex production issues. Ensure high availability, scalability, and data integrity in every design decision, embedding performance and security into the development lifecycle. Collaborate cross-functionally with Product, QA, DevOps, and Customer Success teams to ensure alignment between technical delivery and business priorities. Recruit and develop talent within the team, conducting technical interviews and nurturing a strong engineering culture. What You ll Bring: 12+ years of software engineering experience, with at least 4 5 years of hands-on experience in Ruby on Rails (RoR) backend development. Proven success in building and scaling distributed, event-driven systems that can handle high transaction volumes and complex integrations. Strong Angular expertise: Experience leading teams to deliver rich, responsive web applications. Deep knowledge of eCommerce and OMS domain concepts, including order lifecycle, inventory management, shipments, returns, and third-party partner integrations. Expertise in PostgreSQL/MySQL: Proficiency in schema design, query optimization, and performance tuning. Familiarity with RESTful APIs, webhooks, and common integration patterns for external systems. Experience working with cloud platforms (preferably AWS) and managing CI/CD pipelines for continuous deployment and delivery. Proven experience as an Engineering Manager or Technical Lead, with a track record of mentoring engineers and managing delivery across multiple engineering modules. A passion for building reliable, secure, and performant systems that deliver measurable business impact and enhance the customer experience. Excellent communication, organizational, and problem-solving skills, with the ability to effectively manage complex technical challenges. A strong sense of ownership, self-motivation, and a growth-oriented mindset, always striving to improve processes and systems. Nice to Have: Experience with microservices, asynchronous job processing, or message queues (e.g., Sidekiq, Resque, RabbitMQ). Exposure to SaaS or multi-tenant architectures. Familiarity with containerization (e.g., Docker) and monitoring tools (e.g., Grafana, ELK, Prometheus). Understanding of API versioning, rate limiting, and data consistency patterns in large-scale distributed systems. Innovative Environment: Work on a high-impact eCommerce platform that powers complex integrations and supports millions of transactions globally. Leadership Opportunity: Lead and mentor a talented team of engineers while driving technical strategy and best practices. Career Growth: Be part of a rapidly growing company with opportunities to develop both technically and professionally in a collaborative, dynamic environment. Impactful Work: Your work will directly impact the success of a highly scalable, high-performance platform that serves leading global businesses. If you are an experienced engineering leader with a passion for building scalable and resilient systems in the eCommerce domain, we would love to hear from you!

Principal AI Engineer - MLOps Location: Pune Overview Rapid7 is seeking a **Principal AI Engineer - MLOps** to drive the development and deployment of **scalable, production-grade AI/ML systems** in the field of cybersecurity. This role is within the **AI Center of Excellence team** and involves managing the **end-to-end design of ML production systems** from scoping and data requirements to continuous deployment and monitoring. You will play a pivotal role in mentoring junior engineers and shaping the **MLOps culture**. Key Technologies Used **Cloud/Infrastructure:** AWS (research environments, data hosting), **EKS** (Kubernetes), **Terraform** (Infrastructure as Code). **Modeling/Data:** **Python** (numpy, pandas, scikit-learn), Jupyter notebooks, Anomaly detection methods. Key Responsibilities End-to-End ML Production System Design: **Architect and manage the design and deployment** of ML systems from inception to production. Define project scopes, data requirements, modeling strategies, and **deployment pipelines** for AI/ML systems. Ensure **seamless integration** of models and AI components into the production environment, focusing on **scalability, reliability, and security**. Data Pipeline Management: **Develop and maintain data pipelines**, ensuring data consistency, integrity, and accessibility throughout the ML lifecycle. Oversee the data lifecycle, including **data preprocessing, feature engineering**, and storage. ML Guardrails & Monitoring: Implement **robust ML guardrails** to ensure model performance, fairness, and compliance. Manage the **monitoring and observability** of deployed models, ensuring timely and accurate tracking of model performance. Deployment & Service Monitoring: Develop and deploy accessible endpoints, including **web applications and REST APIs**, adhering to security best practices. Continuously monitor models and data to detect issues such as **drift, anomalies, or performance degradation**. Collaboration & Mentorship: Collaborate closely with engineering, data science, and product teams to ensure alignment on goals. **Mentor and guide junior engineers**, share knowledge, and promote best practices in MLOps. Agile Development & Iteration: Embrace **agile practices**, focusing on continuous iteration and solving complex challenges. Skills & Experience Core Technical Expertise **Extensive Software Engineering Experience:** 15+ years as a software engineer, with at least **3-5 years of expertise in MLOps** in AWS environments. **MLOps & DevOps:** Proven experience deploying **scalable AI/ML systems**, managing **CI/CD pipelines**, and utilizing cloud AI resources. Expertise with **Docker, Kubernetes, and cloud-based AI infrastructure management**. **Programming:** Strong proficiency in **Python** (Flask or FastAPI) and experience building APIs. Data & Modeling Skills Experience in designing **data pipelines** and performing **feature engineering**. Familiarity with **model risk management** strategies, including **concept drift monitoring** and hyperparameter tuning. Leadership & Communication Demonstrated ability to **collaborate across engineering, data science, and product teams**. Proven track record of **mentoring and guiding junior engineers**. Strong communication skills for conveying complex technical concepts and creating detailed system architecture documentation. Nice to Have Experience deploying resources that enable data scientists to fine-tune and experiment with **LLMs (Large Language Models)**. Understanding of AI/ML operational frameworks and associated challenges. Be a part of **cutting-edge AI/ML efforts** to strengthen cybersecurity. Mentor and grow the next generation of engineers in an inclusive, fast-paced environment. Tackle some of the most challenging security problems with a passionate and creative team.

Technical Project Manager-II Location: Pune Employment Type: Full-Time About Calfus At Calfus, we deliver innovative AI agents and enterprise solutions that transform businesses in unimaginable ways. Our software engineering and ERP teams empower startups and enterprises to harness AI s full potential, automate complex workflows, and drive revenue growth. We pride ourselves on a culture of innovation, speed, and collaboration. As one of the fastest-growing companies in the AI space, we seek talented professionals who are passionate, driven, and ready to make an impact. About the Role As a Technical Project Manager-II, you will lead the successful delivery of complex technical projects from conception through deployment. Your role includes managing cross-functional teams, defining project scopes, creating timelines, allocating resources, and ensuring projects meet customer requirements on time and within budget. You will bridge communication between technical teams and stakeholders, proactively resolving issues to keep projects on track. Key Responsibilities Lead end-to-end delivery of GenAI/LLM-based software solutions across diverse business functions. Understand customer needs, translate them into technical requirements, and negotiate priorities. Build and nurture a strong engineering culture focused on respect, empathy, and best practices. Collaborate with principal engineers across Calfus locations to develop best-in-class products. Manage project scope, timelines, resources, and risks to ensure timely delivery. Facilitate communication between stakeholders and technical teams. Support engineering teams by addressing challenges and helping unblock technical issues. Apply Agile, Scrum, or other development methodologies effectively. Utilize project management and development tools (Jira, Git, Jenkins, Docker, etc.). Leverage cloud technologies (AWS, Azure) and understand system architectures. What We Expect From You 6+ years of relevant project management experience, with 5+ years in technical or IT environments. Proven success managing complex, multi-team software projects, especially involving AI/ML or GenAI/LLM solutions. Strong programming knowledge in one or more: Node.js, Java, Python, React.js, Angular. Deep understanding of software development life cycles and methodologies (Agile, Scrum, Waterfall). Experience with cloud architectures and deployment pipelines (DevOps, CI/CD). Excellent communication skills to engage technical and non-technical stakeholders. Ability to drive decision-making based on data and insights. Proficient with project management tools like Jira, MS Project, Asana, etc. Bonus Skills Certifications such as PMP, ScrumMaster or equivalent. Hands-on experience with DevOps and continuous integration/deployment practices. Familiarity with data pipelines from ingestion to dashboards is a plus. Benefits Comprehensive medical, group, and parental insurance. Gratuity and provident fund contributions. Wellness programs and birthday leave. Inclusive, fast-paced culture that values innovation and diversity. Equal Opportunity Statement Calfus Inc. is committed to creating an inclusive workplace where everyone regardless of background, identity, or experience has the opportunity to thrive. We celebrate diversity and encourage all qualified candidates to apply.

Data Engineering Lead BI Analytics & DWH Location: Pune About Calfus At Calfus, we build groundbreaking AI agents and enterprise software that are redefining what s possible for businesses. Whether it's automating workflows, integrating ERP systems, or deploying AI-powered solutions, we help companies scale smarter and faster. Our engineering and data teams are at the core of this innovation designing and delivering high-performance solutions that unlock massive business value. As we grow rapidly, we re looking for driven individuals ready to make a meaningful impact. About the Role We re hiring a Data Engineering Lead to own and drive our BI Analytics & Data Warehousing strategy. You'll lead the architecture, development, and optimization of data pipelines, models, and interactive dashboards that power strategic insights across the business. You ll work hands-on with ETL tools, SQL, Power BI, Tableau, Python, and cloud platforms like Azure and AWS while mentoring junior engineers and collaborating with cross-functional stakeholders. What You ll Do Data Architecture & Modeling Design and implement scalable data models that support self-service BI and analytical reporting. Manage data modeling across structured, semi-structured, and cloud-native data sources. ETL/ELT & Integration Oversee ETL processes using SSIS, Airflow, or equivalent tools for seamless data movement. Handle complex data transformation using SQL Server, Postgres, Snowflake, and Redshift. Visualization & Reporting Develop and lead dashboard/report design using Power BI, Tableau, QuickSight, Plotly, or Dash. Drive best practices in dashboard performance, UX, and storytelling with data. Advanced Data Engineering Use Python, PySpark, NumPy, and Pandas for data wrangling and exploratory analysis. Work with Azure Databricks, MongoDB, and cloud storage (S3, Azure Blob) to build robust pipelines. Automation & DevOps Orchestrate pipelines using Apache Airflow, and implement CI/CD for data engineering workflows. Manage version control and code quality across projects using Git-based workflows. Stakeholder Collaboration Partner with business leaders and analysts to translate requirements into scalable data solutions. Align technical delivery with strategic business goals and drive cross-functional data initiatives. Leadership & Mentorship Guide and mentor junior team members across data and BI functions. Foster a culture of innovation, ownership, and continuous learning. What You Bring Bachelor s in Computer Science, Information Systems, Data Engineering, or related field. 6 12 years of experience in BI architecture, data engineering, and analytics. Deep expertise in: ETL tools: SSIS, Airflow Databases: SQL Server, Snowflake, Postgres, Redshift, MongoDB BI Tools: Power BI, Tableau, QuickSight, Plotly/Dash Python for data analysis, automation, and pipeline development Cloud Platforms: Azure, AWS (S3, Lambda, Databricks) Strong SQL and data modeling skills (relational and dimensional). Familiarity with CRISP-DM, data governance practices, and performance tuning. Bonus Points If You Have Experience working with Azure SDK. Ability to work with REST APIs and perform web scraping. BI architecture design and deployment at scale. Growth-driven culture with clear career paths. Work on industry-defining AI and enterprise products. Exposure to diverse clients, industries, and technologies. Strong focus on wellness, flexibility, and learning. Benefits Medical, group, and parental insurance Provident fund & gratuity Birthday leave & employee wellness programs Highly collaborative and innovative work environment Diversity & Inclusion Calfus is an Equal Opportunity Employer. We believe that diversity fuels innovation. We re committed to creating a welcoming and inclusive workplace for everyone regardless of race, gender, age, background, or identity. Lead the future of data at Calfus. Apply now and help power decision-making through scalable, smart, and stunning data engineering solutions. Qualification : Bachelors in Computer Science Information Systems, Data Engineering, or related field

Position: Associate Data Science Engineer Location: Pune, Maharashtra Work Type: Full Time Minimum Experience: 1 2 Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Image Processing About the Role We are looking for a self-driven Associate Data Science Engineer to join our fast-growing Data & AI Practice. You will work on cutting-edge AI technologies and cloud-native solutions, helping build intelligent, high-impact products for our global clients. If you're passionate about AI/ML, Computer Vision, NLP, Generative AI, and developing scalable AI applications, this role is for you. What You Will Work On Contribute to the design, development, and deployment of AI-powered features and solutions. Collaborate with Product Management to translate business problems into AI/ML use cases. Build applications leveraging Computer Vision, NLP, Deep Learning, and Gen AI technologies. Develop and present functional prototypes, demos, and POCs. Stay current with the latest tools, frameworks, and research in ML, DL, and Gen AI. Participate in end-to-end project lifecycles from analysis to monitoring. What You Bring (Must-Have Skills) 1+ years of experience delivering AI/ML solutions through complete project lifecycle. Strong grasp of Linear Algebra, Statistics, and Probability. Proficiency in Python and data science libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace, spaCy, CoreNLP. Experience with Deep Learning models for Computer Vision and Object Detection. Solid knowledge of Generative AI, LLMs, and tools such as LangChain, LlamaIndex, Prompt Engineering. Strong analytical thinking, problem-solving ability, and effective communication. Great If You Also Know Experience with RAG frameworks, Function Calling, Agentic Frameworks, or Vector Search. Familiarity with cloud services: AWS (preferred), Azure, or Google Cloud Platform. Building APIs using FastAPI, async programming, and REST principles. Understanding of CI/CD, Docker/Kubernetes, and cloud-native deployment pipelines. Exposure to MLOps / LLMOps: versioning, tuning, deployment, and monitoring of models. Comfort with data visualization tools and practices. Agile development experience (Scrum, Kanban, etc.). Startup culture, small teams, and a high degree of autonomy. Work on next-gen technologies in AI, ML, GenAI, and cloud computing. Remote working options based on experience and maturity. Competitive salary and family-friendly benefits. Clear, performance-based career growth path. About Cognologix Cognologix helps businesses reimagine and innovate through modern data and cloud-native solutions. With a strong focus on data science, automation, and intelligent applications, we partner with organizations to deliver cutting-edge products in the most efficient and scalable ways. We thrive in a fast-paced, tech-first environment where innovation meets execution.

Generative AI Engineer Location: Pune (Work from Office) Experience: Minimum 2 Years Notice Period: Immediate to 15 Days Preferred Job Overview: We are seeking a highly skilled and innovative Generative AI Engineer to join our dynamic team in Pune. This role requires hands-on expertise in developing, fine-tuning, and deploying advanced AI/ML models, particularly in the domain of Generative AI. If you're passionate about pushing the boundaries of AI technologies and building production-ready solutions, we d love to hear from you. Key Responsibilities: Design, develop, and deploy Generative AI models and real-world AI-driven applications. Work extensively on prompt engineering, model fine-tuning, and optimization for performance and scalability. Collaborate with cross-functional teams including product managers, researchers, and engineers to integrate AI capabilities into business solutions. Stay current with the latest research and advancements in Generative AI, including transformer models, diffusion models, and LLMs. Build tools, scripts, and frameworks to streamline AI workflows including training, evaluation, and deployment. Optimize inference pipelines and manage cloud-based AI services and APIs. Required Skills & Qualifications: 2+ years of experience in AI/ML with at least 1 year of hands-on work in Generative AI. Strong foundation in NLP, deep learning, and transformer architectures (e.g., GPT, BERT, LLaMA). Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Experience integrating with LLM APIs, vector databases, or cloud-hosted AI models (e.g., OpenAI, Hugging Face, Google Vertex AI). Solid understanding of machine learning pipelines, MLOps, and versioning tools. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: Experience with LangChain, Retrieval-Augmented Generation (RAG), or vector databases like Pinecone, Weaviate, or FAISS. Prior contributions to open-source AI projects, GitHub portfolios, or published research papers. Familiarity with Stable Diffusion, image generation models, or multi-modal AI. Work with cutting-edge AI technologies and enterprise-scale use cases. Opportunity to drive innovation in one of the fastest-growing AI domains. Collaborative and inclusive workplace focused on learning and growth. If you re ready to bring Generative AI to life in real-world applications, apply now and be part of our AI innovation journey.

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Job Title: Senior AWS Data Engineer Experience: 5+ years Location: Kharadi, Pune Role & Responsibilities Design, develop, and optimize scalable data pipelines and ETL workflows using AWS services such as AWS Glue, Lambda, and Step Functions. Implement and maintain data lakes and data warehouses on AWS platforms including S3, Redshift, and Athena. Develop and manage both real-time and batch data processing solutions. Ensure data security, governance, and compliance following industry best practices. Collaborate with data scientists, analysts, and business stakeholders to deliver actionable, data-driven solutions. Optimize query performance and troubleshoot data issues proactively. Automate infrastructure deployment using Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Implement monitoring, logging, and alerting frameworks using AWS CloudWatch, Prometheus, or equivalent tools. Mentor junior engineers and actively contribute to data engineering best practices and standards. Required Skills & Qualifications 5+ years of experience in data engineering, with at least 3 years focused on AWS cloud services. Strong hands-on experience with AWS services including Glue, Redshift, S3, Lambda, EMR, and Athena. Proficient in SQL, Python, and Spark for data processing and analytics. Experience designing and implementing ETL/ELT pipelines. Familiarity with DevOps practices, CI/CD pipelines, and automation tools such as Terraform, CloudFormation, and Jenkins. Deep understanding of data governance, security protocols, and compliance frameworks. Experience with real-time data streaming and processing technologies such as Kafka, Kinesis, or similar tools. Knowledge of database optimization techniques including indexing and partitioning.

Full Stack Developer (Front-End Focus) Pune Location: Pune Experience: 5 to 9 Years (Minimum 4+ Years Relevant Experience) Start Date: Immediate Salary: Best in Industry Qualification: Any Job Summary: We are seeking a highly skilled Full Stack Developer with a strong focus on front-end technologies and extensive hands-on experience in Azure cloud services, .NET Core, and microservices. The ideal candidate will primarily contribute to front-end development (60%) while maintaining significant involvement in backend systems (40%), driving end-to-end project delivery in a fast-paced environment. Key Responsibilities: Design, develop, and maintain scalable applications using .NET Core, API, and microservices architecture. Develop front-end applications using Angular v15+ with clean, maintainable, and efficient code. Utilize Azure cloud technologies hands-on for application deployment, integration, and management. Work extensively with databases such as SQL Server, Cosmos DB, and other NoSQL technologies. Implement and manage CI/CD pipelines using Azure DevOps or similar tools for continuous integration and delivery. Collaborate with cross-functional teams to gather requirements and deliver full-stack solutions. Take ownership as an individual contributor, coding the majority of the time while providing detailed project insights. Maintain a balanced focus with approximately 60% front-end and 40% back-end development involvement. Required Skills & Experience: Minimum 5+ years of hands-on experience with Azure cloud services (essential). At least 5 years of hands-on experience in .NET Core, API development, and microservices with demonstrated project examples. Strong database experience (minimum 5 years) with SQL Server, Cosmos DB, NoSQL, or a combination thereof. At least 4+ years of hands-on experience with Angular v15+ and front-end development. Familiarity with Azure Pipelines and CI/CD best practices is highly preferred. Proven ability to work independently as a senior developer contributing actively to coding and project delivery. Clear documentation of role-specific contributions and project involvement on resume is required. Work on cutting-edge cloud-native applications with a focus on front-end innovation. Join a dynamic, collaborative team based in Pune with opportunities for career growth. Competitive salary with industry-leading benefits. Immediate joining for qualified candidates. Apply today to advance your career as a Senior Full Stack Developer with a front-end focus and contribute to impactful projects in Pune.

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni from IIT Bombay. We specialize in helping startups build innovative products by leveraging the latest tools and technologies to solve real-world challenges. With over 21 years of experience, we've partnered with 180+ startups, primarily in the US, and contributed to numerous successful exits. In 2022, Talentica Software was recognized by Great Place to Work as one of India s Great Mid-Size Workplaces. What We re Looking For: We are seeking a DevOps SRE Manager to lead our cloud operations, with a primary focus on Google Cloud Platform (GCP) and secondary support for AWS. In this role, you will manage two critical teams: one DevOps team responsible for GCP infrastructure, and a CloudOps/SRE team ensuring 24/7 uptime for our mission-critical services. This position requires a blend of technical expertise, leadership skills, and customer relationship management. You ll be responsible for ensuring the reliability, scalability, and security of our infrastructure while overseeing smooth cloud operations. What You ll Be Doing: As a DevOps SRE Manager, your responsibilities will include: Managing GCP Operations: Oversee DevOps operations within Google Cloud Platform using tools like Terraform, Kubernetes (GKE), Prometheus, and Grafana. Infrastructure Automation: Ensure timely execution of tasks and optimize infrastructure automation to improve operational efficiency. CI/CD Enhancement: Drive improvements to CI/CD pipelines, enforce cloud security best practices, and enhance software delivery processes. System Reliability: Improve system reliability through advanced monitoring, logging, and alerting solutions. Cloud Optimization: Optimize cloud infrastructure for cost-effectiveness, scalability, and security, ensuring long-term operational efficiency. Leading CloudOps/SRE Teams: Manage a 24x7 CloudOps/SRE team focused on maintaining service uptime and providing prompt incident response. Incident Management: Lead incident management processes, including conducting Root Cause Analysis (RCA) and ensuring adherence to SLAs. Implement Observability Best Practices: Utilize Grafana, Prometheus, and Opsgenie to implement observability best practices. Promote Automation: Foster self-healing, automated infrastructure to reduce manual interventions and improve operational efficiency. Customer Relationship Management: Build and maintain strong customer relationships through transparent and clear communication. Mentorship and Leadership: Lead and mentor cross-functional teams of DevOps and CloudOps/SRE engineers, ensuring high productivity, continuous professional growth, and performance reviews. AWS Support: Provide basic-to-intermediate support for AWS services (IAM, EC2, S3, Lambda, CloudFormation) and assist in hybrid cloud integration when required. To Be Successful in This Role, You Should Have: Qualifications: BE/BTech from a reputable engineering institute. Experience: 8-12 years of experience in DevOps, CloudOps, or SRE roles. Technical Expertise: Primary Cloud Platform: Expertise in Google Cloud Platform (GCP). Secondary Cloud Platform: Experience with AWS. Infrastructure as Code (IaC): Strong experience with Terraform. Containerization & Orchestration: Hands-on experience with Kubernetes (GKE). CI/CD & Automation: Expertise in tools such as Jenkins, GitOps, and Ansible. Monitoring & Observability: Proficient in Prometheus, Grafana. Incident & Alerting: Familiarity with Opsgenie. Big Data & Streaming: Experience with Kafka, Airflow, Druid. AWS Services: Experience with IAM, EC2, S3, Lambda, CloudFormation, and CloudWatch. Additional Skills: Proven experience managing 24x7 operations and multi-cloud environments. Hands-on expertise with GCP infrastructure, Terraform, Kubernetes, and CI/CD pipelines. Experience with incident management, RCA, monitoring, and alerting. Strong understanding of reliability engineering, automation, and cloud security best practices. Bonus Points If You Have: Experience working with Kafka, Airflow, and Druid in large-scale environments. Certifications such as GCP Professional DevOps Engineer, AWS Solutions Architect, or Kubernetes. Working knowledge of AWS cloud services, especially in hybrid-cloud environments. What You ll Find Here: A Culture of Innovation: We focus exclusively on cutting-edge development. Our clients seek our expertise for innovative solutions, not maintenance work. Endless Learning Opportunities: Constantly expand your skills and stay on top of the latest trends and advancements in cloud technologies. Talented Peers: Work alongside top-tier engineers from India s best institutes (IITs, NITs, and others), fostering a collaborative and growth-oriented environment. Work-Life Balance: We value your well-being and offer flexible schedules and remote work options to help you maintain a healthy work-life balance. A Great Culture: 82% of our employees recommend Talentica to their peers (according to Glassdoor), which speaks to the positive work environment we ve built. Recognition & Rewards: We celebrate success and ensure that your contributions are recognized and appreciated. At Talentica, we invite you to take ownership of large-scale, impactful projects and work with cutting-edge technologies. If you re ready to make a real difference in shaping the future of our industry, we d love to have you join us. Qualification : BE/BTech from a reputable engineering institute.

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni from IITB. For over 21 years, we have been helping startups build products using cutting-edge technologies. With a focus on solving real-world problems, we ve worked with over 180+ startups, primarily in the US, leading to numerous successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India s Great Mid-Size Workplaces. What We re Looking For: We are seeking a Data Engineer to join the product engineering team for a SAAS-based Subscription Management Platform. If you have a passion for working with data and a drive to innovate, we encourage you to apply. What You ll Be Doing: Data Transformation: Use Python and PySpark to transform large datasets and build efficient data pipelines. Pipeline Creation: Work with Kafka and Debezium to create and deploy real-time data pipelines. SQL Expertise: Write and optimize complex SQL queries for data aggregation and transformation. Delta Lake & Databricks: Utilize Delta Lake and Databricks for efficient data storage and management. Collaboration: Work with cross-functional teams to ensure data is accessible, reliable, and well-organized for product teams. To Be Successful in This Role, You Should Have: Qualification: BE/BTech from a top-tier engineering institute. Experience: 5+ years of experience in the data engineering field. Must-Have Skills: Strong proficiency in Python and PySpark for data transformation. Experience with Kafka and Debezium for data pipeline creation and deployment. Excellent SQL skills, especially for complex data aggregation and transformation. Familiarity with Delta Lake and Databricks. A solid understanding of all stages of the SDLC and experience with Agile/SCRUM methodology. Good-to-Have Skills: Understanding of machine learning algorithms. Familiarity with ETL tools like Matillion or Google Data Studio. Experience with creating BI reports using tools like Looker or Tableau. Familiarity with writing APIs to extract data from databases. What You ll Find Here: Culture of Innovation: We focus on technology expertise and innovation, not maintenance projects. Our customers come to us for cutting-edge solutions. Endless Learning Opportunities: Stay ahead of the curve by exploring new advancements in your field and applying them to build better, faster, and simpler products. Talented Peers: Work alongside experienced graduates from India's top 20 engineering colleges, including IITs, NITs, and other top-tier institutes. Flexibility: We value work-life balance and offer flexible schedules, including remote work options. Great Culture: 82% of our employees recommend Talentica to their friends, according to Glassdoor. You'll love being part of our team! At Talentica, we don t just follow trends we lead them. If you re looking for a dynamic, fast-paced environment with opportunities to innovate, grow, and shape the future of technology, Talentica is the place for you. Join us and make a real difference! Qualification : BE/BTech from a top-tier engineering institute.

Job Description: Senior Cloud Engineer We are seeking a highly skilled Senior Cloud Engineer with extensive experience in software development and DevOps to lead our efforts in automating Cloud infrastructure. The ideal candidate will focus on building automation for Cloud Landing Zones and collaborate with cross-functional teams to ensure the successful implementation and maintenance of cloud solutions. Responsibilities: Design, implement, and maintain scalable and efficient cloud-based solutions on AWS and Azure. Lead initiatives to automate cloud infrastructure. Collaborate with teams to integrate best practices in development, code quality, and automation. Guide and mentor development teams, providing expertise in DevOps and automation practices. Contribute to the design and implementation of cloud applications using serverless architectures, Kubernetes, and event-driven patterns. Develop and maintain CI/CD pipelines to streamline deployments, utilizing GitOps methodologies. Apply security best practices to design and implement secure authentication and authorization mechanisms. Monitor and optimize the performance, scalability, and reliability of cloud applications. Stay updated with the latest cloud technologies and development trends, applying new tools and frameworks as needed. Ensure software systems meet functional and non-functional requirements while adhering to best practices in software design, testing, and security. Foster continuous improvement by sharing knowledge, conducting team reviews, and mentoring junior developers. Requirements: Proven experience as a Cloud engineer or similar role, with a strong focus on AWS (Azure is a plus). Solid experience in software development and DevOps practices. Expertise in AWS/Azure infrastructure automation. Proficiency in programming languages such as Python, Golang, or JavaScript. Experience with serverless architectures, Kubernetes, and event-driven patterns. Knowledge of CI/CD pipelines and GitOps methodologies. Strong understanding of cloud security best practices. Excellent problem-solving skills and ability to work collaboratively in a team environment. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: Experience in designing and working with No-SQL databases such as DynamoDB. Experience in leading and mentoring development teams. Expertise in software architecture, development, and systems testing with a strong focus on cloud technologies. Strong technical guidance and decision-making abilities to shape solutions and enforce development best practices. Proficient in applying quality gates, including code reviews, pair programming, and team review meetings. Experience in code management and release processes, with familiarity in Monorepo and Multirepo strategies. Solid understanding of functional programming principles, including list/map/reduce/compose techniques and familiarity with monads. Knowledge of SDLC, and adherence to DRY, KISS, and SOLID design principles. Proficient in managing security protocols such as ABAC, RBAC, JWT, SAML, AAD, and OIDC for authentication and authorization. Expertise in event-driven architecture, including queues, streams, batches, and pub/sub systems. Strong understanding of scalability, concurrency, and distributed systems. Experience with cloud networking and proxies. Expertise in CI/CD pipelines, GitFlow, and GitOps frameworks like Flux and ArgoCD. Polyglot programmer with expert-level proficiency in at least two languages (e.g., Python, TypeScript, GoLang). Experience in operating Kubernetes clusters from a developer s perspective, including custom CRDs, operators, and controllers. Experience in building serverless cloud applications. Strong team player with the ability to communicate and collaborate well in a fast-paced, collaborative environment. Proficient in using GitHub for version control, code reviews, and collaborative development. Experience working in agile teams, participating in sprints, and collaborating effectively in cross-functional teams. Fluency in UI development using React, Hooks, and TypeScript is a plus. Deep knowledge of AWS cloud services, with a basic understanding of Azure as a plus. Experience in developing and managing cloud infrastructures using Crossplane.io is a plus. Knowledge equivalent to AWS Certified DevOps Engineer Professional is a plus.

Job Title: Senior Cloud Engineer Job Description: We are seeking a highly skilled Senior Cloud Engineer with extensive experience in software development and DevOps to lead efforts in automating Cloud infrastructure. The ideal candidate will focus on building automation for Cloud Landing Zones and collaborate with cross-functional teams to ensure the successful implementation and maintenance of cloud solutions. You will leverage your expertise in cloud technologies, coding practices, and automation to help scale and optimize the organization s cloud infrastructure. Responsibilities: Cloud Infrastructure Design & Implementation: Design, implement, and maintain scalable and efficient cloud-based solutions primarily on AWS, and Azure. Lead initiatives to automate cloud infrastructure, improving efficiency and reducing manual interventions. Collaboration & Best Practices: Collaborate with cross-functional teams to integrate best practices in development, code quality, and automation. Mentor and guide development teams, offering expertise in DevOps and automation practices. Cloud Application Development: Contribute to the design and implementation of cloud applications, leveraging serverless architectures, Kubernetes, and event-driven patterns. Ensure high-quality design, security, and testing practices in cloud-based applications. CI/CD & Automation: Develop and maintain CI/CD pipelines for seamless, automated deployments using GitOps methodologies. Security: Apply security best practices in cloud application architecture, including designing secure authentication and authorization mechanisms. Performance Optimization: Continuously monitor and optimize the performance, scalability, and reliability of cloud applications and infrastructure. Innovation: Stay updated with the latest cloud technologies, trends, and tools to drive innovation and improve the organization s cloud architecture. Continuous Improvement: Promote continuous improvement by sharing knowledge, conducting team reviews, and mentoring junior developers. Requirements: Experience: Proven experience as a Cloud Engineer or in a similar role with a strong focus on AWS (experience with Azure is a plus). Solid experience in software development and DevOps practices. Expertise in AWS/Azure infrastructure automation. Technical Skills: Proficiency in programming languages such as Python, Golang, or JavaScript. Experience with serverless architectures, Kubernetes, and event-driven patterns. Strong understanding of CI/CD pipelines, GitOps methodologies, and cloud security best practices. Collaboration & Communication: Excellent problem-solving skills and ability to work collaboratively within a team. Strong communication skills to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: Cloud Technologies & Architecture: Experience in designing and working with No-SQL databases, such as DynamoDB. Expertise in software architecture, development, and systems testing, with a strong focus on cloud technologies. Leadership & Mentoring: Experience in leading and mentoring development teams. Ability to guide and influence decision-making in the development and design of cloud solutions. Quality & Code Management: Proficient in applying quality gates such as code reviews, pair programming, and team review meetings. Experience in code management and release processes, with familiarity in Monorepo and Multirepo strategies. Technical Competence: Solid understanding of functional programming principles. Knowledge of SDLC, and adherence to DRY, KISS, and SOLID design principles. Expertise in managing security protocols such as ABAC, RBAC, JWT, SAML, AAD, and OIDC for authentication and authorization. Event-Driven Architecture & Cloud Networking: Expertise in event-driven architecture including queues, streams, batches, and pub/sub systems. Strong understanding of scalability, concurrency, and distributed systems. Experience with cloud networking and proxies. Additional Skills: Polyglot programmer with expert-level proficiency in at least two languages (e.g., Python, TypeScript, GoLang). Experience operating Kubernetes clusters from a developer s perspective, including custom CRDs, operators, and controllers. Strong experience in GitHub for version control, code reviews, and collaborative development. Agile & Development Environment: Experience working in agile teams, participating in sprints, and collaborating effectively in cross-functional teams. UI Development (Optional): Fluency in UI development using React, Hooks, and TypeScript is a plus. Cloud Certifications (Optional): AWS or Azure certifications. AWS Certified DevOps Engineer Professional or similar certification is a plus. What We Offer: Professional Development: Opportunities for continued professional growth through internal programs, mentorship, and certifications. Collaborative Work Environment: A culture that fosters innovation, collaboration, and knowledge sharing among teams. Competitive Benefits: Comprehensive benefits package including health, wellness, and work-life balance programs. Career Progression: Clear paths for career advancement and personal growth in a rapidly expanding cloud-focused company. Join our dynamic team and help shape the future of cloud infrastructure! Let's build the cloud solutions of tomorrow, together.

Job Details Responsibilities: Design, develop, and maintain high-performance software applications using Full stack technologies (Frontend and Backend). Develop web and mobile applications using React and React Native. Implement efficient and scalable APIs using Python with Flask and TypeScript. Integrate AWS solutions, particularly with CloudWatch, Lambda, DynamoDB, and S3, to ensure reliable and scalable cloud infrastructure. Optimize the use of Redis to improve performance and scalability of applications. Apply best practices in software development, including design patterns, SOLID principles, and unit testing. Monitor and improve application performance using tools like Sumo Logic and New Relic. Collaborate with multidisciplinary teams to identify and resolve complex technical problems. Participate in code reviews and mentor other developers. Requirements: Solid experience in Full stack development, with a focus on both Frontend and Backend. (Must) Expertise in React and React Native for web and mobile application development. (Must) Experience with Python and Flask for Backend development. Knowledge in integrating any Cloud tech like AWS, particularly CloudWatch, Lambda, DynamoDB, and S3. Familiarity with Redis for caching and in-memory storage management. Experience with TypeScript to improve code quality on the frontend. Knowledge of software development best practices, including testing, CI/CD, and version control (Git). Experience working with monitoring and analytics tools such as Sumo Logic and New Relic or similar. Ability to work independently, as well as in collaborative, agile teams. Excellent problem-solving skills, critical thinking, and results-oriented focus. Desirable: Experience with agile methodologies like Scrum or Kanban. Knowledge of microservices architectures and containers (Docker). Familiarity with relational and non-relational databases. Strong communication skills in English (Must)

Job Overview: We are seeking a passionate and driven Node.js Developer to join Verificient Solutions Pvt Ltd. In this role, you will be an integral part of the product development team, working on innovative products for online learning. The ideal candidate will have 3-5 years of experience in Node.js, and will be passionate about building scalable, high-performance backend systems. This is an excellent opportunity for individuals who are excited to contribute to a fast-growing product and continually learn new technologies. Key Responsibilities: Backend Development: Design, develop, and maintain scalable backend systems using Node.js to support our web and desktop applications. API Development: Build and integrate RESTful APIs, ensuring seamless communication between different application components. Database Management: Work with both SQL and NoSQL databases (e.g., MongoDB, MySQL) to manage data effectively. System Design: Create and optimize backend architecture for performance, scalability, and reliability. Collaboration: Work closely with front-end developers, UI/UX designers, and product managers to ensure the product aligns with organizational goals. End-to-End Development: Be involved in the full Software Development Life Cycle (SDLC), from requirement analysis to deployment and maintenance of the product. Code Quality: Follow best practices for code quality, testing, and documentation to ensure high-quality, maintainable code. Optimization: Continuously monitor and improve system performance and resolve any issues that arise in the backend. Required Skills & Expertise: Experience: 3-5 years of hands-on experience in Node.js development, including building and maintaining backend services and APIs. JavaScript Proficiency: Strong proficiency in JavaScript and ES6+ syntax. API Development: Extensive experience in designing and implementing REST APIs for both internal and external use. Database Knowledge: Solid experience with SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases. Server-side Technologies: Understanding of Express.js and other Node.js frameworks. Version Control: Experience using Git for version control and collaborative development. OOP Principles: Familiarity with Object-Oriented Programming (OOP) concepts and applying them to development tasks. Education: A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is preferred. Desirable Skills: Full Stack Development: Familiarity with front-end frameworks (e.g., React.js, Angular.js) and an understanding of full-stack development. Cloud Services: Experience working with cloud platforms like AWS or Azure is a plus. Testing: Familiarity with testing frameworks (e.g., Mocha, Jest) to write unit and integration tests. Agile Methodology: Experience working in Agile or SCRUM development environments. CI/CD Pipelines: Understanding of Continuous Integration and Continuous Deployment practices. What We re Looking For: Passion for Development: You are excited to build high-performance, scalable backend systems. Team Player: You work well in a collaborative environment, effectively communicating with cross-functional teams. Problem Solver: You love tackling complex backend challenges and finding efficient solutions. Continuous Learner: You are always eager to learn new technologies and stay updated with the latest trends in backend development. Innovative Projects: Work on cutting-edge products that are shaping the future of online learning. Collaborative Culture: Be part of a dynamic team that values collaboration and creative problem-solving. Growth Opportunities: We offer continuous learning and professional development to help you grow in your career. If you're a Node.js Developer looking to work on impactful projects and be part of a talented team, we d love to hear from you! Apply now to join Verificient Solutions Pvt Ltd and help us build next-generation online learning solutions. Qualification : A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is preferred.

NVIDIA s Infrastructure, Planning and Processes (IPP) organization is seeking a hard-working and experienced Site Reliability/DevOps Engineer, with strong background in Infrastructure Management, Monitoring, Automation, & System Administration, to join our Sanity Operations Team in Pune. The IPP Org provides Infrastructure, Products & Services for multiple software teams including GPU, Mobile, and Automotive divisions working on Nvidia's extraordinary products & services. The team is responsible for hosting, enabling & running the large scale private cloud systems & services, for our in-house Testing CI framework. The cloud hosts a heterogeneous mix of machines and devices with various operating systems (Windows/Linux/Android, etc.), running with NVIDIA GPUs and Tegra Processors. What you ll be doing: Create resilient, scalable, and efficient test and deployment pipelines. Design and implement complex automation platforms to identify & resolve operational inefficiencies. Triaging software, hardware and infrastructure issues and maintaining high availability for our infrastructure & services. Deploying & Monitoring critical high performance, large scale services running on Geo-distributed systems. Continuously Strive for efficient utilization & management of the infrastructure. Automate processes for enabling developers to adopt self-service practices, while ensuring compliance with security standards. Work with architects and engineers across the teams to review the designs & solutions during development and deployment phases. Collaborate with our other engineering teams to deliver reliable, robust, and high-performance capability of the underlying infra. Mine & analyze data from multiple sources for identifying scaling & optimization opportunities. What we need to see: Bachelor s or Master s degree in computer science, Software Engineering, or equivalent experience with 7+ years of experience in a DevOps environment. Strong hands-on experience in Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc) Working Experience in monitoring & maintaining large-scale infrastructure applications running in a microservice-based architecture. Proficient with Virtualization architecture with strong experience in Kubernetes, VMs, Dockers. Experience with continuous integration and continuous delivery systems such as GitLab, GitOps, Jenkins, Packer, and Terraform. Strong Python scripting skills, with proven background of using/writing JSON/REST APIs. Fluency in using MySQL or equivalent NoSQL databases queries Solid understanding of configuration management tools like, Chef, Puppet, Ansible, etc. Working Experience with Perforce, GIT or any other version control system is necessary. Experience with telemetry and alerting systems such as Kibana, Elastic Search, Grafana, and Prometheus to create rich visualizations of system health over time. Ability to self-manage, show leadership, mentor others and communicate well. Ways to stand out from the crowd: Understanding of networking concepts like TCP/IP and firewall management. Exposure to web apps/dashboards on frameworks like Django, AngularJS, VueJS, etc. High level understanding of Build and Test systems. Experience in Building regression detection systems by analyzing real-time production data, emphasizing important metrics. Innovating with industry-standard tools and collaborating with the open source community Qualification : Bachelors or Masters degree in computer science, Software Engineering, or equivalent experience with 7+ years of experience in a DevOps environment.

Company Overview: BMC Software is an award-winning, equal opportunity employer that fosters a diverse and culturally rich work environment. The company is committed to giving back to the community, and innovation is at the heart of everything we do. We create an atmosphere where your contributions are celebrated, and your ideas are heard. Our SaaS Ops department focuses on delivering exceptional SaaS experiences to our customers by utilizing cutting-edge technologies. We continuously strive to grow by adopting the latest innovations, and we offer a global, versatile environment where professionals can thrive. Role Overview: As a DevOps Engineer, you will join our dynamic SaaS Ops team to design, develop, and implement complex enterprise applications using the latest technologies. You will play a key role in driving the adoption of DevOps processes and tools across the organization. This position offers exciting opportunities to work with industry-leading tools and practices, contributing to the growth and success of both BMC and your own professional development. Responsibilities: End-to-End Product Development: Participate in all aspects of SaaS product development, from requirements analysis to product release and ongoing sustenance. Ensure the delivery of high-quality enterprise SaaS solutions within the specified schedule. DevOps Process Adoption: Drive the adoption of DevOps processes and tools throughout the organization. Develop and maintain Continuous Delivery Pipelines to optimize the deployment process. Technology Integration: Learn and implement cutting-edge technologies to build enterprise SaaS solutions at scale. Work with cloud technologies, containerized environments, and automation tools to enhance application performance and reliability. Collaboration: Collaborate with cross-functional teams, including R&D, Operations, Support, and others, to ensure seamless integration of DevOps practices into the workflow. Documentation & Troubleshooting: Design and document Standard Operating Procedures (SOPs), architecture artifacts, and design documents. Use troubleshooting skills to address issues across different platforms, ensuring minimal downtime and optimal performance. Required Skills & Qualifications: Experience: 3+ years in a software engineering function, preferably with experience in DevOps, SaaS, and automation. Technical Expertise: Strong experience with CI/CD pipelines, containerized deployments, and maintaining production environments. Proficiency in automation scripting languages such as Python, Groovy, Ansible, or Shell scripting. Hands-on experience with Jenkins, Docker, Helm, Git, Terraform, and Jira. Knowledge of Web service protocols (REST, JSON) and experience working with Relational Databases (e.g., PostgreSQL, MS SQL). Containerization & Cloud Technologies: Familiarity with Kubernetes (PODs, persistent storage, ingress, routes) and cloud deployment models (public, private, hybrid). Exposure to ElasticSearch, Grafana, Prometheus, and other monitoring tools. Site Reliability Engineering (SRE): Understanding of SRE principles and their implementation for SaaS services to ensure scalability, performance, and reliability. Operating Systems: Proficient working on Windows and Linux platforms. Agile Methodology: Experience working in an Agile environment with cross-functional teams. Soft Skills: Excellent troubleshooting, communication, and collaboration skills. Hardworking, dedicated, and capable of handling time-sensitive deadlines. Education: Bachelor s degree in IT or a related field, or equivalent professional experience. Bonus Skills (Nice-to-Have): Familiarity with BMC Helix products (ITSM, Digital Workplace, Helix Platform) is an advantage. Previous experience in Site Reliability Engineering (SRE) for SaaS products will be a plus. Work Schedule & Benefits: This position may require occasional weekend work during scheduled production activities and after-hours work as needed. As part of BMC's commitment to equal opportunity, employees benefit from a supportive and inclusive culture, with opportunities for professional growth. Compensation & Rewards: The midpoint of the salary band for this role is 1,638,100 INR. Actual salary will depend on factors such as skills, experience, certifications, and other business needs. BMC offers a comprehensive compensation package, including a variable pay plan and country-specific benefits. Why Join BMC? BMC is a company that thrives on innovation, collaboration, and a commitment to creating a work environment that allows you to bring your best self to work every day. If you re looking for a place where you can make an impact, work with cutting-edge technology, and grow alongside talented professionals, this is the place for you. Be yourself at BMC, and help us shape the future of SaaS! Qualification : Bachelors degree in IT or a related field, or equivalent professional experience.