Director - Field Sales

SENIOR PLATFORM ENGINEER

LOCATION: BENGALURU

It is a leading global sports activity platform with over 5 million

users across 5 countries, that connects players, venues, trainers, and

brands in one full stack ecosystem across 50+ sports. We operate at

the intersection of consumer technology, social networking,

marketplaces & real-world logistics and are building a scalable, multi-

vertical sports-tech venture with a focus on long-term sustainability

and global dominance.

Senior Platform Engineer

The Opportunity: This is a high-ownership, foundational role. You will set the direction for how we

run our systems — incident response, reliability, security, quality and cost — and build the systems

and practices.

Roles and Responsibilities:

● Infrastructure: Be the accountable owner of our Cloud Infra across AWS and GCP —

including ECS, RDS, ElastiCache, networking (VPC), and IAM services

● Observability & SLOs: Define SLIs/SLOs and error budgets and build the metrics, logs, tracing,

and alerting that catch problems before customers do.

● Reliability engineering: Incident management & on-call. Own end to end incident process —

severity levels, paging, an incident bridge, and act as incident commander.

● Cost/FinOps: Own cloud cost — right-sizing, commitments (Savings Plans / RIs), cost-

allocation tagging, and resource lifecycle — balancing efficiency against performance.

● Security: Drive security best practice — least-privilege IAM, MFA/SSO, secrets management

www.playo.co

and rotation, network segmentation, detective controls, and encryption.

Requirements:

● 4 - 6 years experience with end-to-end ownership of production including platform,

infrastructure and SRE responsibilities

● Hands-on depth across AWS - compute, data stores, networking, and IAM, and fluency with

the AWS Well-Architected Framework and its trade-offs.

● Deep observability understanding — SLIs/SLOs/error budgets, metrics/logs/traces, and

alerting that pages on real user-facing symptoms

● Passion for sports and fitness

● Excitement about working in a fast-paced startup environment

Budget: 35 LPA to 45 LPA

Work schedule is Mon to Fri, 3:30am to 12:30pm IST

Key Responsibilities:

• Design, develop, and deploy computer vision and machine learning models for analyzing visual and document-based data.
• Build pipelines that convert unstructured visual inputs into structured and usable information.
• Develop and evaluate models for tasks such as object detection, segmentation, document parsing, and image understanding.
• Apply OCR and related techniques to extract meaningful information from complex documents and imagery.
• Work with large datasets and build efficient training and evaluation pipelines.
• Handle real-world visual datasets that may contain noise, inconsistencies, incomplete information, or varying formats.
• Experiment with different approaches to solve challenging computer vision problems and evaluate tradeoffs between accuracy, performance, and complexity.
• Collaborate with product and engineering teams to integrate machine learning models into scalable production systems.
• Continuously improve model performance, accuracy, and robustness in real-world environments.
• Stay up to date with the latest developments in AI and computer vision and apply relevant techniques where appropriate.
• Actively leverage modern AI tools and frameworks to accelerate experimentation, development, and engineering workflows.

Requirements:

• 5+ years of hands-on experience building and deploying machine learning models, particularly in Computer Vision or document understanding.
• Strong proficiency in Python for machine learning and data processing.
• Hands-on experience with modern ML frameworks such as PyTorch and libraries in the Hugging Face ecosystem.
• Experience with computer vision tooling such as OpenCV.
• Experience with common ML and data science libraries such as scikit-learn, NumPy, and Pandas.
• Experience developing models for tasks such as segmentation, object detection, or document analysis.
• Experience working with large image datasets and building training pipelines.
• Solid understanding of model evaluation, data preprocessing, and performance optimization.
• Strong problem-solving skills and ability to work in a fast-paced product environment.
• Ability to collaborate effectively with cross-functional engineering and product teams.
• The candidate should be based in India
• Willing to work remotely full-time
• Work schedule is Mon to Fri, 3:30am to 12:30pm IST

Preferred Qualifications:

• Experience with TensorFlow or other deep learning frameworks.
• Experience working with OCR pipelines or document analysis systems.
• Experience deploying machine learning models in production environments.
• Experience with containerized deployments such as Docker or Kubernetes.
• Experience working with complex technical documents, diagrams, or structured visual data.
• Familiarity with spatial or geometry-related data problems.
• Experience with libraries such as Detectron2, MMDetection, or similar.
• Familiarity with frameworks used to integrate modern AI models into applications (e.g., LangChain or similar tooling).
• Contributions to open-source ML or computer vision projects are a plus.

Additional Information:

• The problems we work on involve complex visual and document-based data, so we value engineers who enjoy tackling challenging technical problems and experimenting with different approaches to reach practical solutions.
• Candidates are required to include links to relevant projects, GitHub repositories, research work, or examples of machine learning systems they have built.

Benefits:

• Flexible remote work opportunities with career development opportunities
• Engagement with a supportive and collaborative global team
• Competitive market based salary

Key Responsibilities:

• Develop engagement strategies and content calendar for official online communities/groups on platforms like instagram, facebook, twitter & more
• Drive partnerships & collaboration with relevant online communities, superusers & social media influencers
• Work with product, creative, content & brand partnerships teams to develop member messaging for new campaigns, features, and product launches
• Create social engagement playbook/guidelines for community moderators
• Track & report trending topics and sentiment & feedback among the member community across all channels (social media, reviews, support, etc.) 

Qualifications:

• Graduate with at least 5 years experience in social media & community management
• Active and engaged participant in social media
• Strong verbal, written and presentation skills to communicate effectively
• Strong interpersonal skills and ability to build relationships with cross functional stakeholders
• Highly organized, detail-oriented and able to manage/execute multiple ongoing projects
• Ability to identify and track relevant community KPIs

    Requirement analysis

·         Acquisition support (Technical analysis)

·         Automotive ECU software development

·         Diagnostic (UDS) function development

·         Software testing

·         Technical collaboration with internal/external development parties

Must-Have:

• Web development frameworks and tools, such as AngularJS, and React JS • Knows frameworks and programming languages such as .NET, C#, JavaScript, and NodeJS. • Must have an idea about hybrid cloud platforms like Azure or AWS • Knowledge about build Tools like Webpack and Grunt • Should know basic design principles and coding practices, such as linters and types • Secure coding practices and protocols such as the Open Web Application Security Project (OWASP) • Basic knowledge of CMS tools and their workings, CMS like Sitecore • Having experience in API and service-based architectures using REST APIs, microservices, and utilizing JSON for web or mobile applications

Good to Have:

• Testing frameworks and tools like Jest, Codecept, Tosca, Jenkins • SQL, PL/SQL, and NoSQL database management. • Knowledge of various web tools and software like Miro, Figma, Visual Studio, VS Code, PyCharm, Jira, Confluence, and DevOps portals • Could have knowledge of payment gateways and their implementations on e-commerce management tools like Hybris • Having knowledge of product life cycle management

Opportunity:

Create a consumer facing front end application that will be used by millions of users. 

What you will do:

• Develop our mobile apps using Swift/ObjectiveC.
• Work with backend, frontend, and other developers to build out a customer-centric experience that will constantly evolve.
• Work with our designers and customer success team to create a seamless user experience.
• Respond to support team tickets as needed to resolve bugs and issues.
• Participate in contributing ideas, updates, and product development areas to the team.

Experience Range: 

3-5 years with technical hands-on experience in building a consumer mobile app. You must have shipped an app to the stores.

Technical Expertise:

• 3-5 years experience with iOS native apps.
• Strong knowledge of Swift and ObjectiveC.
• Strong command of JavaScript ES6.
• Know how to build (fairly) complex layouts without using any CSS frameworks.
• Strong problem solving and analytical skills using data structures.
• Comfortable in a fast-paced startup environment.
• Bias for action shipping quality code quickly.