11+ Enterprise software Jobs in Pune | Enterprise software Job openings in Pune

Solutions Engineer – Technical Customer Success Owner

Location: Pune | Experience: 2–4 years

About FlytBase

FlytBase powers 24/7 autonomous drone and robot operations across industrial sites—solar farms, refineries, rail yards, and more. With deployments at 300+ sites globally and customers like Oxy, CSX, and Anglo-American, we’re scaling the future of Physical AI.

What You’ll Own

This isn’t a demo-and-disappear job. You’ll lead from discovery to deployment—owning the full technical cycle for enterprise drone automation.

• Customer Success & Technical Discovery: Be the go-to advisor for clients—understand pain points, run PoCs, and deliver solutions they can scale.
• Sales Engineering: Assist in GTM execution, drive revenue with compelling value stories, and close enterprise deals.
• Product Feedback Loop: Turn customer insight into roadmap impact—collaborate with product & engineering to build what the market really needs.
• Thought Leadership: Represent FlytBase at expos, train customers, lead webinars, and create high-signal success stories.

Who You Are

• 2–4 years in enterprise SaaS, robotics, drones, or IoT (customer-facing)
• Proven experience in technical pre-sales or onboarding
• Excellent communicator—comfortable with CEOs and CTOs alike
• Obsessively curious, fast learner, and bias for execution
• Writes clearly, thinks logically, and simplifies complexity
• Bonus: Experience with UAV systems, DJI, APIs, or deployment architecture

AI-Native, Full-Stack Mindset

• Use AI to prototype, scale outreach, and optimize delivery
• Write docs, guides, and customer content that actually helps
• Solve problems—not just show features.

Who We’re Not Hiring

• Slide flippers who disappear after demos
• “That’s not my job” types
• Activity-over-outcome operators
• Anyone allergic to complexity or documentation

Who You’ll Work With

• Sales → Demo, close, and support GTM
• Product → Shape roadmap with insights from the field
• Engineering → Translate problems into features and fixes
• Marketing → Co-build stories that drive adoption.

Ready to Fly?

Apply now: https://forms.gle/4QAUqJxgT7TevpX86

If this felt too intense, it’s probably not for you. But if it sparked a fire—you know what to do.

Byteridge is seeking a Rapid Prototyping Engineer specializing in AI Infrastructure & Optimization to work with our most strategic customers on deploying, fine-tuning, and optimizing large language models at scale. You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in computer science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)

• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

We are looking for a highly skilled Senior Full Stack Developer with experience in building secure, scalable, and high-performing web applications for eLearning or fintech platforms. The ideal candidate will have a strong background in multi-tenant dashboards, role-based access control, and API integrations, with a proactive, go-getter mindset.

Key Responsibilities:

• Develop and maintain multi-tenant dashboards with role-based access control (RBAC) and hierarchical permission models.
• Implement authentication, authorization, and session management across different user tiers, ensuring secure handling of credentials and sensitive data.
• Integrate LMS systems, third-party APIs, and fintech services while maintaining data integrity and security.
• Ensure secure hosting, multi-layered application protection, and adherence to IT standards and best practices.
• Optimize applications for performance, scalability, and reliability across platforms.
• Collaborate with cross-functional teams, including designers, content developers, and project managers, to deliver end-to-end solutions.

Required Skills & Experience:

• Proven full-stack development experience with technologies such as JavaScript, React, Node.js, Python, Java, or similar.
• Hands-on experience with multi-level user management, RBAC, and dashboard architectures.
• Strong knowledge of APIs, hosting, cloud services, and secure deployment practices.
• Familiarity with data security protocols, fintech integrations, and enterprise IT standards.
• Excellent problem-solving skills, proactive approach, and ability to work independently.

Preferred:

• Experience in eLearning platforms (SCORM, xAPI) or fintech solutions.
• Knowledge of database optimization, caching, and performance tuning.
• Experience with international eLearning projects or multi-location deployments.

Job Purpose

• Deliver on significant portfolio indicators and maximise resolution/ roll backs/ normalization / recoveries and influence reduction in bucket inventory by enhancing performance.

• Be the executor of collection strategies implemented by the ACLM/RCLM/Centre Head.

• To ensure that all laid down processes are adhered to without any deviations. Have checks and balances to ensure smooth process adherence.

Liaison with other functions and departments viz. sales , credit, operations , RIC, Legal Receivables Management

Job Responsibilities(JR) :

• Manage and deliver monthly performance in terms of, resolution, roll backs, recovery rates/ values as per the target set for the assigned portfolio.

• Review field follow-up for the portfolio managed towards achievement of target set.

• Monitor the agency / field executive’s performances periodically.

• Achieve the money collection under principal, fees & charges as per targets.

• Regular visit to yard and reporting thediscrepancies / compliant items as a visitreport. (Applicable for Auto, Two Wheeler,

Agri & CTG Loans)

• Ensuring timely allocation and field follow- up.

• Effectively address disputes, expired etc cases to prevent any probable escalation and highlight sensitive accounts to Area Collection Managers to prevent the same.

• Ensure trails updates are recorded in web- collections for follow-up on skip marking,deceased specifically apart from follow-up on normal portfolio.

• Ensure that the agency resources are optimally used wrt the number of visits, contacts, PTP conversion ratio etc.

• Ensure that calls are made on the portfolio thru recorded lines during the month at the agency level and field visit updates are available in the web-collections. Call recordings have to be validated and updated in the visit report submitted to the agency process Management

• All Banks process to be adhered to in totality in Unit performance

• Cash deposit process including monitoring TAT taken by agencies to deposit money collected.

• Receipt Management – including receipt recon, sighting of unused receipts, completion of lost receipt formalities.

• Settlement process involving issue of settlementletters to be in line with approvals received.

• Manage escalations and ensure resolution of all cases.

• Ensure repo process including repo kit to vendors, usage of repo app at agency level, valuation, sale of vehicle (online/ off line), RC

book updation are managed as per the laid down guideline.

• Training programs to be done monthly and all employees to be covered for minimum man hours every quarter.

• All vendor bills are processed within 30 days of work and no vendor bill is left unprocessed for 60 days at any given point of time

• Ensure 100% usage of collection system and receipt mobility (HHT).

• Ensure nil delay in cash TAT and mis-posting of payments Vendor Management

• Management of field/ referral vendors

• Ensure compliance from the vendors on laid down processes.

• Monitor performance of field agencies and address performance deficiencies.

• Ensure 100% compliance of critical items like DRA certification/ police verification etc.

• Code of conduct to be followed by the vendor across aspects of field and tele calling.

• In case of yard management, ensure set targets for the inventory movement in yard and sale process are met.

Regular review of vendors/yards basis their performance, man power invested productivity expectations and process norms.

Relationships and Roles

To ensure smooth functioning of day to day process, the position is critical to have close interaction with following functions

INTERNAL

• Sales (Sales Manager) : coordinating with sales for feedback and resolutions on Non-starters / frauds. Sharing data regarding negative profiles and areas basis portfolio trends

• Local Operations/CPU : coordinating for regular schedule uploads, receipt management, PDC management , PDC presentation. For retrieval of relevant documents for skip tracing and fraud cases

• Process team (Process Managers and Central team): For process and compliance related items EXTERNAL

• Collection Agencies : For delivery of numbers and compliance to process and regulatory requirement

Code Of Conduct & HR Trainings

To follow code of conduct guidelines of bank. Code of conduct training to be done at agency level as per process guidelines.

To nominate and get mandatory trainings done for self as per HR training schedules.

Legal

• Initiating legal in high POS delinquent cases.

• Coordination with legal team for effective use and execution of legal tools.

Educational Qualifications

Graduate / Post Graduate / MBA

Key Skills

• Should possess good communication skills

• Good leadership quality and molding and supporting the team for desired results as per management expectations(for \agencies/off-rolls staff)

• Should be able to handle deadlines and compliance items

• Should be good on follow up and accomplishment of targeted achievements

Experience Required

Sufficient hands on work experience of min. 2 years and above in financial industry

• Should have managed a team of agencies staff/outsourced staff demonstrating high level of competence.

• Should be mature enough to handle customer and agency xecutives/vendors pressurized situations and ensure targets /deadlines

• Should be mature enough to handle people in pressurized situations and ensure targets /deadlines met.

Major Stakeholders

Customers

• Branch Banking Team

• Operations / Sales / Process / RIC / Legal

Job Summary:

We are seeking a skilled Python Developer with a strong foundation in Artificial Intelligence and Machine Learning. You will be responsible for designing, developing, and deploying intelligent systems that leverage large datasets and cutting-edge ML algorithms to solve real-world problems.

Key Responsibilities:

• Design and implement machine learning models using Python and libraries like TensorFlow, PyTorch, or Scikit-learn.
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Develop APIs and integrate ML models into production systems using frameworks like Flask or FastAPI.
• Collaborate with data scientists, DevOps engineers, and backend teams to deliver scalable AI solutions.
• Optimize model performance and ensure robustness in real-time environments.
• Maintain clear documentation of code, models, and processes.

Required Skills:

• Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of ML algorithms (classification, regression, clustering, deep learning).
• Experience with data pipeline tools (e.g., Airflow, Spark) and cloud platforms (AWS, Azure, or GCP).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD practices.
• Solid grasp of RESTful API development and integration.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 2–5 years of experience in Python development with a focus on AI/ML.
• Exposure to MLOps practices and model monitoring tools.

Role Description

This is a full-time hybrid role as a GCP Data Engineer,. As a GCP Data Engineer, you will be responsible for managing large sets of structured and unstructured data and developing processes to convert data into insights, information, and knowledge.

Skill Name: GCP Data Engineer

Experience: 7-10 years

Notice Period: 0-15 days

Location :-Pune

If you have a passion for data engineering and possess the following , we would love to hear from you:

🔹 7 to 10 years of experience working on Software Development Life Cycle (SDLC)

🔹 At least 4+ years of experience in Google Cloud platform, with a focus on Big Query

🔹 Proficiency in Java and Python, along with experience in Google Cloud SDK & API Scripting

🔹 Experience in the Finance/Revenue domain would be considered an added advantage

🔹 Familiarity with GCP Migration activities and the DBT Tool would also be beneficial

You will play a crucial role in developing and maintaining our data infrastructure on the Google Cloud platform.

Your expertise in SDLC, Big Query, Java, Python, and Google Cloud SDK & API Scripting will be instrumental in ensuring the smooth operation of our data systems..

Join our dynamic team and contribute to our mission of harnessing the power of data to make informed business decisions.

Job description:

• Hands on skills in Java programming languages
• Experience of testing of Cloud Native applications with exposure of Kafka.
• Understanding the concepts of K8, Caching, Rest / GRPC and Observability
• Experience with good programming or scripting practices and tools: code review, ADO/Jenkin etc
• Apply expertise in Java, API Testing, Cucumber or other test frameworks to design, develop and maintain automation test suites.
• Intimate familiarity with QA concepts: white-/black-/grey-box testing, acceptance/regression test, system integration test, performance/stress test, and security tests

Senior Full-Stack Engineer

To be successful in your role, it is important that you have…

• Bachelor’s Degree or equivalent in Computer Science or related field

• 5+ years of using .NET/.NET Core, C#, Angular, JavaScript, HTML

• 5+ years of experience with databases preferably SQL Server and T-SQL

• C# development with multi-threading principles, good knowledge of .Net data structure and objects.

• Experience with working with/ troubleshooting large volume SQL Server databases

• Experience with REST (XML, JSON), SOAP Web Services development using ASP.NET, Web API

• Experience and belief in CI/CD/DevOps

• Strong software product development/engineering with complete understanding of SDLC

• Strong full stack developer and good knowledge of frameworks

• Ability to independently deliver on stories

• Experience mentoring junior developers

• Ability to juggle multiple tasks and prioritize time as per the need

• Effective communication and collaboration and problem-solving skills.

In this role, you will have the opportunity to…

• Develop code for complex problems using .NET/.NET Core, C#, JavaScript, HTML, Angular primarily

• Create REST based API for data driven solutions

• Develop unit test cases to confidently ship your feature.

• Work with Product Owners to understand requirements and help design solutions

• Work in an agile environment

• Work in CI/CD environment using Azure DevOps

• Document design and code development for modules using Confluence

• Help mentor junior resources to implement industry best practices

WHO WILL LOVE THIS JOB?

• Attracted to creativity, innovation, and eagerness to learn

• Alignment to a fast-paced organization and its short-term and long-term goals

• An engaging, open, genuine personality that naturally encourages interaction with individuals at all levels

• Strong value system and sense of ethics • Absolute dedication to premium quality

• Want to build strong core product team capable of developing solutions for complex, industry-first problems.

• Build balance of experience, knowledge, and new learnings

ROLES AND RESPONSIBILITIES?

• Driving the success of the software engineering team at Datamotive.

• Collaborating with senior and peer engineers to prioritize and deliver features on the roadmap.

• Build strong development team with focus on building optimized & usable solutions.

• Research, Design & Develop distributed solution to handle workload mobility across multi & hybrid cloudsr

• Assist in Identifying, Researching & Designing newer features and cloud platform support in areas of disaster recovery, data protection, workload migration etc.

• Assist in building product roadmap.

• Conduct pilot tests to assess the functionality of newly developed programs.

• Front facing customers for product introduction, knowledge transfer, solutioning, bugs triaging etc.

• Assist customers by giving product demos, conducting POCs, trainings etc.

• Manage Datamotive infrastructure, bring innovative automation for optimizing infrastructure usage through monitoring and scripting. • Design test environments to simulate customer behaviours and use cases in VMware vSphere, AWS, GCP, Azure clouds. • Help write technical documentation, generate marketing content like blogs, webinars, seminars etc.

TECHNICAL SKILLS?

• Experience in software development with relevant domain understanding of Data Protection, Disaster Recovery, Ransomware Recovery.

• A strong understanding and demonstrable experience with at least one of the major public cloud platforms (GCP, AWS, Azure or VMware)

• A strong understanding and experience of designing and developing architecture of complex, distributed systems.

• Insights into development of client-server SaaS applications with good breadth across networking, storage, micro-services, and other web technologies.

• Experience of building and leading strong development teams with systems product development background

• Programming knowledge in either of GO Lang, C, C++, Python or Shell script.

• Should be a computer science graduate with strong fundamentals & problem-solving abilities.

• Good understanding of virtualization, storage and cloud platforms like VMware, AWS, GCP, Azure and/or Kubernetes will be preferable

• Hands-on experience with React Native (2+ years).
• Experience with popular React workflows (such as Flux or Redux).
• Integrating backend REST APIs
• Passion about complex, interactive applications with a thoughtful UX/UI.
• Should be able to understand project requirements thoroughly.
• A deep understanding of the importance of building maintainable, efficient, clean code, while balancing the urgency of business needs.
• Collaborative attitude and experience working with cross-functional teams.

• Responsible for driving & delivering cross-platform mobile applications.
• Responsible for architecting, solutioning of the project in the requirement phase;
• Responsible for working with the team & enhancing the collaboration, adding value to the project with critical thinking on project design.
• Responsible for integrating the REST APIs