11+ Release engineering Jobs in Pune | Release engineering Job openings in Pune

Dear Candidate,

We are urgently looking for a Release- Big data Engineer For Pune Location.

Experience : 5-8 yrs

Location : Pune

Skills: Big data Engineer , Release Engineer ,DevOps, Aws/Azure/GCP Cloud exp. ,

JD:

• Oversee the end-to-end release lifecycle, from planning to post-production monitoring. Coordinate with cross-functional teams (DBA, BizOps, DevOps, DNS).
• Partner with development teams to resolve technical challenges in deployment and automation test runs
• Work with shared services DBA teams for schema-based multi-tenancy designs and smooth migrations.
• Drive automation for batch deployments and DR exercises. YAML based micro service deployment using shell/Python/Go
• Provide oversight for Big Data toolsets for deployment (e.g., Spark, Hive, HBase) in private cloud and public cloud CDP environments
• Ensure high-quality releases with a focus on stability and long-term performance.
• Able to run the automation batch scripts and debug the deployment and functional aspects/ work with dev leads to resolve the release cycle issues.

Regards,

Minakshi Soni

Executive- Talent Acquisition

Rigel Networks

 Role : Executive Assistant

Location : Pune - Hadapsar

Experience : 0 to 4 years ( Fresher with good communication can apply)

Job Role & Responsibilities :

•      Planning, scheduling & coordinating appointments & meetings, providing reminders, maintaining & updating diary of daily commitments & weekly calendar on a proactive basis.

•      Interacting with & rendering assistance to select HNI & VIP customers, coordinating certain critical Outdoor Catering & Party Orders, VIP reservations, etc.

•      Receiving calls, taking messages, screening & prioritizing calls & mails.

•      Taking down dictations & appropriately drafting data points & correspondences, proactively responding to queries received through calls/mails based on feedback & preferences conveyed by the Managing Director.

•      Preparing, editing & compiling agendas, minutes, correspondences & presentations.

•      Organizing & maintaining files, documents as well as other office records, both offline & online, preserving & safeguarding confidential data & documents in an efficient manner.

•      Making travel arrangements (ticketing, hotel reservations, etc.) on behalf of the Managing Director & other senior executives, coordinating with outstation visitors & proactively looking after their boarding & lodging arrangements, based on preferences conveyed by the Managing Director.

•      Undertaking primary as well as secondary research & accordingly, developing briefs, reports & presentations as per pre-determined timelines.

•      Proactively observing & recording various discussions/conversations undertaken by the Managing Director from time to time & accordingly, framing action plans.

•      Managing communication pertaining to projects, new launches as well as other such expansion & diversification undertakings that directly come under the purview of the Managing Director.

•      Imparting induction & training to select employees hired for functions that are directly or indirectly associated to those of the Managing Director’s office.

•      Coordinating with outstations suppliers & vendors (China, Italy, etc.) quotations, purchase orders, purchase/ delivery payments. 

•      Responding to various inquiries - internal as well as external, acting as a point of contact between the Managing Director & other employees, tracking the work plan allocated to certain employees by the Managing Director & monitoring timelines with regard to the same.

•      Organizing & maintaining files, documents as well as other office records, both offline & online, preserving & safeguarding confidential data & documents in an efficient manner.

•      Negotiating with various suppliers, vendors & contractors, receiving competitive quotations, making comparisons, making purchases of materials & supplies based on feedback received from the Managing Director.

•      Spearheading all coordination pertaining to maintenance, upkeep & repair of corporate as well as outlet & store infrastructure (on a case to case basis), as per directions & preferences issued by the Managing Director from time to time.

•      Undertaking primary as well as secondary research & accordingly, developing briefs, reports & presentations as per pre-determined timelines.

•      Proactively observing & recording various discussions/conversations undertaken by the Managing Director from time to time & accordingly, framing action plans.

•      EA has to work for 09 hours in a day according to the assigned shift.

•      C/off will be availed in case EA has worked on his/her week off for the said week. It should avail within thirty days and it should not be clubbed with weekly off.

•      EA will get only one weekly off once in a week, it may be any one day in a week (Monday to Sunday).

•      Management has reserved all the rights to take decision time to time if required.

About Us

We are a fast-growing startup based in Pune, India, specializing in cutting-edge Data Science and Data Engineering solutions. Our team of dedicated professionals is committed to solving complex data challenges for companies worldwide.

Our Culture We foster a vibrant startup culture that values: • Intellectual curiosity • Continuous learning • Positive work environment • Collaborative problem-solving

Role Overview

We are seeking a versatile and proactive Data Scientist to join our dynamic team. The ideal candidate will possess a blend of technical expertise in modern AI/ML technologies, strategic planning, and effective communication skills. This role demands critical thinking, applying data science and problem-solving skills to a wide variety of real-world problems, adaptability to rapidly evolving technologies, and a strong foundation in both traditional and generative AI principles.

Key Responsibilities • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions • Build and deploy production-ready LLM applications using modern frameworks and best practices • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models • Perform prompt engineering and optimization to maximize LLM performance for specific use cases • Implement agentic AI systems and multi-agent workflows for complex automation tasks • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools • Optimize database performance and create efficient SQL queries • Deploy and monitor ML models in production using MLOps practices and containerization • Practice active listening to understand project requirements and team inputs • Collaborate with clients to translate business requirements into data science solutions • Communicate complex ideas and results clearly to stakeholders through both verbal and written formats • Apply responsible AI principles and ensure ethical considerations in model development • Demonstrate punctuality and a strong sense of ownership in all tasks • Plan strategically and multitask efficiently to meet project deadlines • Employ critical thinking to break down problems and debug effectively • Take initiative and be biased towards action to drive project progress Required Skills Core Programming & ML • Strong Python programming skills with hands-on project experience • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods) • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning • Experience with NLP, Computer Vision, or Time Series Analysis Generative AI & LLMs • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models) • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy) • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS) • Strong prompt engineering skills and understanding of prompt optimization techniques • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them • Understanding of LLM evaluation metrics and benchmarking methodologies • Familiarity with agentic AI architectures and multi-agent systems MLOps & Deployment • Experience with MLOps practices and tools (MLflow, Kubeflow, Weights & Biases) • Proficiency with containerization using Docker and orchestration with Kubernetes • Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment and monitoring • Understanding of CI/CD pipelines for ML applications • Knowledge of model serving frameworks and API development (FastAPI, Flask, or Django) Data Engineering & Databases • Solid understanding of SQL, including advanced concepts like windowing functions and query optimization • Experience with data pipeline orchestration tools (Airflow, Prefect, or similar) • Familiarity with both SQL and NoSQL databases Soft Skills & Professional Attributes • Strong critical thinking and problem-solving skills • Excellent written and verbal communication abilities • Demonstrated ability to work well in a team and independently • High degree of flexibility and adaptability to rapidly evolving technologies • Understanding of AI safety principles and responsible AI practices

Nice-to-Have • Experience with big data technologies (Spark, Hadoop, Databricks) • Familiarity with BI tools and dashboard creation (Tableau, Power BI, Looker) • Knowledge of graph databases and knowledge graph construction • Experience with real-time streaming data processing • Active participation in data science competitions (Kaggle, DrivenData) • Contributions to open-source AI/ML projects or technical blog • Experience with multimodal AI models (vision-language models, audio processing) • Published research papers or conference presentations

Qualifications • Data Scientist I: 0-2 years of hands-on experience in Data Science projects • Data Scientist II: 2-5 years of hands-on experience in Data Science projects • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field • Demonstrated commitment to continuous learning through courses, certifications, or self-study (especially in GenAI and modern ML techniques)

What We Offer • Competitive salary commensurate with experience • Opportunity to work on diverse, cutting-edge AI/ML projects • Collaborative and innovation-driven work environment • Rapid growth and continuous learning opportunities • Exposure to latest AI technologies and industry best practices

Link for application -  https://forms.gle/9GENVfPeXdtgi7Zj7

TAPPP is leading the charge in bringing premium digital entertainment content & live sports to global consumers via its prepaid platform. TAPPP is available across platforms via the Web, Mobile and Tablets. Building out this brand presents significant product and engineering challenges. At the centre of solving those challenges is the TAPPP Product Engineering team which is responsible for the TAPPP product end to end.

We are looking for a coding enthusiast who love working with code and developing software systems.

You will be a part of the core product development team that is responsible for building different components of the TAPPP platform. You will be responsible for designing, coding, reviewing, testing, bug-fixing different modules of the software product that needs to work seamlessly across different environments.

The organization is flat, process is minimal, individual responsibility is big, and there is an emphasis on keeping non-productive influences out of the everyday technical decision making process. Upholding these philosophies will be imperative as we execute our aggressive plan of global expansion over the next 2 years. The position is based in Mumbai, India.

Here is what we are looking for:

• Deep product development experience and sound understanding into these technologies

• Java/J2EE

• Spring

• Hibernate

• RESTful API's

• MySQL

• Tomcat 7

• Exposure on Grails & Amazon AWS will be a plus point

• Strong independent contributor

• An unquenchable desire to learn, attention to detail with a can-do attitude

• Comfortable working in a start-up environment

Job Description

• Planning with the product advancement group to finish item thoughts 
• Utilizing different programming to plan the items. Has hands on coding experience across different technology stacks. Willing to experiment & explore across technologies and identify the best suited
• Performing constant market analysis of competing products
• Testing item models to control configuration blemishes 
• Talking with delivery team to work out financially savvy producing methodology and solutions. 
• Ability to ideate, code, setup a prototype and on approval design the entire application as per business requirements.
• Complete knowledge of Full stack development. .
• As a product engineer, our Super Hero is expected to participate in all parts of development life cycle. Create user friendly, cost effective product design.
• Ability to research w.r.t features, UX, functionalities and finally testing before being rolled out.

Job Requirements

• Familiarity with all stages of product development life cycle.
• Extensive experience in writing codes, deep understanding of platform architecture, ability to design & develop solutions & knack towards problem solving.
• Deep engineering skills in various technology stacks, ability to handle big data concepts, keen to work in IIOT & machine data domain.  
• Ability to effectively present ideas & communicate with team members within & outside organization, ability to write routine reports and correspondence and ability to speak confidently & effectively before groups of customers or other Donaldson colleagues.
• We are happy to have a technology geek take this position as long as s/he is able to align the product roadmap to organization’s growth roadmap.
• Good communication and presentation skills
• Effective written and verbal skills in English Language are mandatory.
• This is a global role and the candidate may be required to travel to Smart Ship Hub’s different delivery centres.

Experience Requirements & Educational Qualification

• Atleast 5 years of proven product engineering experience. Must have: managed product life cycle, knowledge of product roadmap, extensive coding experience.
• Should be open to working in Disruptive Application Design domain, IIOT, Smart Sensors, Big data

• Designing and building infrastructure to support AWS, Azure, and GCP-based Cloud services and infrastructure.
• Creating and utilizing tools to monitor our applications and services in the cloud including system health indicators, trend identification, and anomaly detection.
• Working with development teams to help engineer scalable, reliable, and resilient software running in the cloud.
• Participating in on-call escalation to troubleshoot customer-facing issues
• Analyzing and monitoring performance bottlenecks and key metrics to optimize software and system performance.
• Providing analytics and forecasts for cloud capacity, troubleshooting analysis, and uptime.

• Should have strong experience of a couple of years, in leading DevOps team and planning, defining DevOps roadmap and executing as per the same along with the team 
• Familiarity with AWS cloud and JSON templates, Python, AWS Cloud formation templates
• Designing solutions using one or more AWS features, tools, and technologies such as EC2, EBS, Glacier, S3, ELB, CloudFormation, Lambada, CloudWatch, VPC, RDS, Direct Connect, AWS CLI, REST API
• Design and implement system architecture with AWS cloud - Develop automation scripts, ARM templates, Ansible, Chef, Python, Powershell Knowledge of AWS services and cloud design patterns- Knowledge on Cloud fundamentals like autoscaling, serverless
• Have experience with DevOps and Infrastructure as Code: AWS environment and application automation utilizing CloudFormation and third-party tools. CI/CD pipeline setup utilizing
• CI experience with the following is a must: Jenkins, Bitbucket/GIT, Nexus or Artifactory, SonarQube, WireMock or other mocking solution 
• Expert knowledge on Windows/Linux OS/Mac with at least 5-6 years of system administration experience
• Should have strong skills in using JIRA build tool
• Should have knowledge in managing the CI/CD pipeline on public cloud deployments using AWS
• Should have strong skills in using tools like Jenkins, Docker, Kubernetes (AWS EKS, Azure AKS), and Cloudformation.
• Experience in monitoring tools like Pingdom, Nagios, etc.
• Experience in reverse proxy services like Nginx and Apache
• Desirable experience in Bitbucket with version control tools like GIT/SVN
• Experience of manual/automated testing desired application deployments
• Experience in database technologies such as PostgreSQL, MySQL
• Knowledge of helm and terraform

• Identity Access Management (IAM)/SailPoint IIQ  Implementation and Governance
• Java development
• Role -Base Access Control (RBAC)
• Custom / OOTB connector development experience
• Integration experience with JDBC, Active Directory, ServiceNow, Mainframe  ACF2