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Job Title: Site Reliability Engineer (SRE)

Experience: 4+ Years

Work Location: Bangalore / Chennai / Pune / Gurgaon

Work Mode: Hybrid or Onsite (based on project need)

Domain Preference: Candidates with past experience working in shoe/footwear retail brands (e.g., Nike, Adidas, Puma) are highly preferred.

🛠️ Key Responsibilities

• Design, implement, and manage scalable, reliable, and secure infrastructure on AWS.
• Develop and maintain Python-based automation scripts for deployment, monitoring, and alerting.
• Monitor system performance, uptime, and overall health using tools like Prometheus, Grafana, or Datadog.
• Handle incident response, root cause analysis, and ensure proactive remediation of production issues.
• Define and implement Service Level Objectives (SLOs) and Error Budgets in alignment with business requirements.
• Build tools to improve system reliability, automate manual tasks, and enforce infrastructure consistency.
• Collaborate with development and DevOps teams to ensure robust CI/CD pipelines and safe deployments.
• Conduct chaos testing and participate in on-call rotations to maintain 24/7 application availability.

✅ Must-Have Skills

• 4+ years of experience in Site Reliability Engineering or DevOps with a focus on reliability, monitoring, and automation.
• Strong programming skills in Python (mandatory).
• Hands-on experience with AWS cloud services (EC2, S3, Lambda, ECS/EKS, CloudWatch, etc.).
• Expertise in monitoring and alerting tools like Prometheus, Grafana, Datadog, CloudWatch, etc.
• Strong background in Linux-based systems and shell scripting.
• Experience implementing infrastructure as code using tools like Terraform or CloudFormation.
• Deep understanding of incident management, SLOs/SLIs, and postmortem practices.
• Prior working experience in footwear/retail brands such as Nike or similar is highly preferred.

What You’ll Do:

As a Data Scientist, you will work closely across DeepIntent Analytics teams located in New York City, India, and Bosnia. The role will support internal and external business partners in defining patient and provider audiences, and generating analyses and insights related to measurement of campaign outcomes, Rx, patient journey, and supporting evolution of DeepIntent product suite. Activities in this position include creating and scoring audiences, reading campaign results, analyzing medical claims, clinical, demographic and clickstream data, performing analysis and creating actionable insights, summarizing, and presenting results and recommended actions to internal stakeholders and external clients, as needed.

• Explore ways to to create better audiences 
• Analyze medical claims, clinical, demographic and clickstream data to produce and present actionable insights 
• Explore ways of using inference, statistical, machine learning techniques to improve the performance of existing algorithms and decision heuristics
• Design and deploy new iterations of production-level code
• Contribute posts to our upcoming technical blog  

Who You Are:

• Bachelor’s degree in a STEM field, such as Statistics, Mathematics, Engineering, Biostatistics, Econometrics, Economics, Finance, OR, or Data Science. Graduate degree is strongly preferred 
• 3+ years of working experience as Data Analyst, Data Engineer, Data Scientist in digital marketing, consumer advertisement, telecom, or other areas requiring customer level predictive analytics
• Background in either data engineering or analytics
• Hands on technical experience is required, proficiency in performing statistical analysis in Python, including relevant libraries, required
• You have an advanced understanding of the ad-tech ecosystem, digital marketing and advertising data and campaigns or familiarity with the US healthcare patient and provider systems (e.g. medical claims, medications)
• Experience in programmatic, DSP related, marketing predictive analytics, audience segmentation or audience behaviour analysis or medical / healthcare experience
• You have varied and hands-on predictive machine learning experience (deep learning, boosting algorithms, inference) 
• Familiarity with data science tools such as, Xgboost, pytorch, Jupyter and strong LLM user experience (developer/API experience is a plus)
• You are interested in translating complex quantitative results into meaningful findings and interpretable deliverables, and communicating with less technical audiences orally and in writing

Responsibilities‌ ‌:‌ ‌

• You will be responsible for managing and growing an incredible and diverse team of fitness professionals, guiding them in the best practices in revenue generation, client engagement, client management, fitness package generation and trainer tools optimization.
• Guide onboarded ‌‌fitness professionals of our Trainer Community with the next step of the process and ensure trainers remain engaged with the brand.
• Collaborate with the marketing and growth departments in developing marketing plans, analyzing results, and identifying opportunities for fitness professionals to grow.
• Analyze market trends, consumer need, and the competitive landscape to ensure trainer revenue maximisation.
• Engage with fitness professionals to get feedback and note grievances in the product and other business processes. 
• Update and maintain the daily trainer report on a regular basis- Keeping a routine check on engagement targets and achievements
• Strategize with management on trainer community engagement programs

Requirements‌ ‌:‌ ‌

• Exceptional ‌communication‌ ‌and‌ ‌interpersonal‌ ‌skills.‌
• Background in fitness industry with 5-6 years of experience
• Certifications in Fitness such as NASM, K11, etc
• Fluent in English, Hindi and Marathi ‌
• Passion‌ ‌for‌ ‌fitness,‌ ‌mobile‌ ‌and‌ ‌technology‌ ‌is‌ ‌a‌ ‌plus!‌ ‌

We are looking for a full-stack developer with  3+ years of experience in NodeJS and frontend technologies like HTML/CSS/JS + ReactJS + VueJS

- Strong Coding Skills
- Experience building scalable products
- 3+ years of experience in NodeJS with an understanding of callbacks, async/await, promises,
  asynchronous functions, usage of third-party libraries, ExpressJS, PassportJS etc
- Good command over Data Structure, Algorithms
- Experience working with NoSQL & SQL Databases like Mysql, MongoDB, ElasticDB, Redis etc
- Good design skills
- The ability to produce bug-free and production-grade code
- Knowledge of Go, Docker and kuberneates is a plus.

• Health Memberships 
• Sports Subscriptions 
• Entertainment Subscriptions 
• Key Conferences and Event Passes
• Learning Stipend 
• Team Lunches and Parties 
• Travel Reimbursements 
• ESOPs 

Thast what we think would bloom up your personal life, as a gesture for helping us with your talents.

Join us to be a part of our Exciting journey to Build one Digital Identity Platform!!!