Center Manager

About Ampera

Ampera builds enterprise-grade AI platforms that sit at the intersection of large-scale data systems, intelligent orchestration, and applied AI.

Our products help Fortune 1000 companies optimize operations, manage risk, and unlock decision intelligence using AI, LLMs, and agentic workflows.

Role Overview

We are looking for a strong Full Stack Engineer who has built production-grade enterprise applications, worked with large datasets, and is excited about integrating AI systems and LLM-powered workflows into real-world platforms.

This is not a UI-only or API-only role.

You’ll own end-to-end system design, from frontend experiences to backend orchestration and AI integration.

What You’ll Work On

• Enterprise web platforms used by analysts, admins, and leadership
• High-scale data-intensive applications (query orchestration, risk intelligence, estimation engines)
• AI-augmented workflows (LLMs, agents, optimizers, explainability layers)
• Secure, governed, multi-tenant systems with role-based access

Key Responsibilities

Full Stack Development

• Design and build scalable web applications (frontend + backend)
• Develop API-first backend services for enterprise workflows
• Build admin dashboards, analyst workflows, and decision-ready UIs
• Ensure performance, reliability, and maintainability at scale

Backend & Data Systems

• Work with large-scale relational databases (Azure Synapse, Redshift, Snowflake, PostgreSQL, SQL Server, etc.)
• Design data models for high-volume, analytical workloads
• Implement caching, orchestration, background processing, and async workflows
• Integrate with enterprise systems (identity, BI tools, data platforms)

AI / LLM Integration

• Integrate LLMs (OpenAI, Azure OpenAI, etc.) into production systems
• Build AI-powered services:
• Query optimization
• Risk scoring & explainability
• Estimation & prediction workflows
• Implement agentic AI patterns (multi-step reasoning, tool-using agents, orchestration)
• Work closely with ML engineers to productionize AI models

Enterprise Readiness

• Implement RBAC, audit logging, governance, and guardrails
• Design systems with security, compliance, and observability in mind
• Contribute to CI/CD pipelines, deployments, and production monitoring

Required Skills & Experience

Core Engineering

• 4–8+ years of experience as a Full Stack Engineer
• Strong backend experience with Python (FastAPI preferred) or equivalent
• Solid frontend experience with React / modern JS frameworks
• Strong understanding of REST APIs, async processing, microservices

Data & Systems

• Hands-on experience with large databases and complex schemas
• Strong SQL skills and experience optimizing queries
• Experience building enterprise-grade, data-heavy applications

AI / Modern Stack

• Practical experience integrating LLMs or AI services into applications
• Familiarity with:
• Prompting & structured outputs
• AI evaluation & guardrails
• Explainability and risk-aware AI
• Exposure to agentic AI frameworks or multi-step AI workflows is a big plus

Nice-to-Have (Strong Differentiators)

• Experience building AI-powered SaaS or internal enterprise platforms
• Background in analytics, risk systems, finance, supply chain, or operations
• Experience with Redis, message queues, background workers
• Familiarity with Azure / AWS, containerization, Kubernetes
• Ability to translate business problems → system design

What We Look For (Beyond Skills)

• Strong systems thinking — you see the whole picture
• Comfortable operating in ambiguous, zero-to-one builds
• Ability to reason about scale, cost, and enterprise constraints
• Builder mindset — you ship, iterate, and own outcomes

Why Join Ampera

• Work on real enterprise AI platforms, not demos or chatbots
• Exposure to LLMs, agentic AI, and applied AI at scale
• High ownership, senior-heavy team, minimal bureaucracy
• Opportunity to shape core architecture and AI strategy
• 
  

Role Summary:

AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 3-8 years of prior experience in data engineering, with a strong background in working on modern data platforms. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

• Design, develop, and maintain data pipelines using Databricks (PySpark / Spark SQL)

• Build and manage data pipelines across Bronze, Silver, and Gold layers using Delta Lake

• Implement ETL/ELT workflows for batch and near real-time processing

• Work with Databricks Workflows for orchestration and job scheduling

• Leverage Unity Catalog for data governance, access control, and metadata management

• Optimize Spark jobs, cluster configurations, and cost efficiency

• Collaborate with business and analytics teams to translate requirements into scalable data models

• Integrate data from multiple sources (APIs, databases, cloud storage)

• Ensure data quality, validation, and observability across pipelines

• Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring

Qualifications:

• Bachelor’s degree in computer science, Engineering, or a related field.

• Overall 3+ years of prior experience in data engineering, with a focus on designing and building data pipelines

• Hands-on experience with Databricks platform and ecosystem

• Strong proficiency in Python (PySpark) and SQL

• Experience working with Delta Lake (ACID transactions, time travel, schema evolution)

• Good understanding of data warehousing concepts and dimensional modeling

• Familiarity with Unity Catalog (data governance, RBAC, lineage basics)

• Understanding of Spark performance tuning and optimization techniques

• Experience with cloud platforms (AWS / Azure / GCP)

• Working knowledge of Git and CI/CD practices

• Familiarity with implementing CI/CD processes or other orchestration tools is a plus.

Strong Industrial Designer / Physical Product Designer profile

Mandatory (Experience 1) - Must have a minimum 5+ YOE in Designing Consumer Electronics or Consumer Durables Physical Products

Mandatory (Experience 2) - Very Strong Experience with CMF (Color, Material, Finish) for Physical product designs

Mandatory (Experience 3) - Must have experience with 3D Designs using computer-aided design (CAD) tools

Mandatory (Portfolio) - Strong portfolio of Industrial / Physical Product design Consumer Products (Must have shown the 3D look and feel of Physical products in portfolio)

Mandatory (Company) - Good Consumer Electronics or Handset / Mobility or Automotive Industry or New age start-ups ( Eg, Jaguar, Titan, Ola, Fossils, BMW)

Mandatory (Education) - Design Degree from NID Ahmedabad or an equivalent tier-1 design institute

About EquityList

EquityList is a full-stack equity management platform for global businesses. We work with 550+ customers such as Bajaj Auto (NSE), Tata Consumer Products (NSE), Blackbuck (NSE), Tabby.ai, Livspace, Shiprocket, Tacobell India, Slice, Rapido, Zerodha Fund House, and many more to manage equity for 40,000+ stakeholders and manage $4Bn+ of equity grant value. Backed by AngelList India, Hustle Fund, Republic, Unpopular Ventures, and others, we're building the definitive infrastructure of equity compensation. We are a lean, sharp, high-context team that ships fast and executes deeply. Join us and help shape the next decade of private market infrastructure.

About the Role

As a Principal Engineer at EquityList, you’ll own and drive the engineering direction of the company. You’ll work with an existing team of 4 strong full-stack engineers, writing production code while setting the technical bar across architecture, scalability, and reliability.

This is a hands-on role with real ownership. You’ll partner closely with the CEO and product leadership to turn business priorities into well-designed systems, guide major technical decisions, and ensure we move fast without breaking fundamentals.

If you enjoy building critical systems, mentoring capable engineers, and taking responsibility for how an organization engineers at scale — this role is for you.

What You’ll Do

1. Hands-On Coding (50%): Own full-stack epics/features end-to-end (React/Node/Postgres stack) from ideation to production.
2. Technical Leadership (20%): Guide architecture decisions, system design, DevOps (CI/CD, GCP, Kubernetes), and infosec (auth, encryption, SOC2 basics).
3. Mentoring & Code Quality (15%): Conduct code reviews for 80%+ of PRs, pair-program with juniors/mids, run tech syncs to the upskill team.
4. Hiring & Team Building (5%): Screen candidates, lead technical interviews, contribute to scaling the team.
5. Product Strategy (10%): Collaborate with CEO/Product Manager on roadmap prioritization, effort estimation, and refinement.

What We Want

• 8-12 years full-stack experience; prior Series A/B startup exposure essential.
• Expertise: Modern JS stack (React/Next.js, Node/Express), databases (Postgres), cloud infra, DevOps tools.
• Proven mentoring: Helped juniors grow; comfortable with mixed-skill teams.
• Soft skills: Startup hustle, CEO collaboration, clear communication.
• Indian startup ecosystem knowledge is a plus.
• Bonus: ESOP/compliance domain familiarity, Principal/Staff Engineer background.

Why Work With Us ?

At EquityList, you don't just join a team; you help build the infrastructure of innovation.

We move fast. We solve hard problems. We build with obsession — for our customers and each other. Here, autonomy is real and equity isn’t just a benefit — it’s belief in your leverage.

Build with obsession. Own with conviction. Grow with velocity.

Perks and Benefits at EL :



• Skin-in-the game – Own a real piece of what you help build with equity grant
• Consolidated Health Insurance – For you and your dependents
• Company-Provided MacBook Pro.
• Cursor Pro and other AI tools
• Relocation Assistance – Support to help you settle smoothly in your new city
• 
  

If you're an A-player who ships fast, thinks sharp, and scopes for more — let’s chat.

Come for the mission. Stay for the impact. Grow with the company you helped build.

Key skills: java ,selenium,BDD,API testing,Rest assured.
Mandatory Skills:

·         Hands-on knowledge of Maven

·         Appium hands-on

·         Jenkins hands-on

·         Hands-on knowledge of API testing techniques and usage of API tools SOAP UI/JMeter (REST /SOAP)

·         Rest api automation using rest assured

·         Usage of Postman or JMeter tool to modify requests to validate multiple outputs on scenarios.

·         Analyze results of tests and to be able to update existing test suits after API changes

·         Basic Knowledge about CI/CD Concepts

·         Exposure to UI Automation, Selenium, JAVA Rest Assured, TestNG

·         Experience using at least one defect management tool – JIRA, HP ALM, ADO etc.

Nice to have skills:

·         ISTQB foundation certification would be a plus.

Hi

Greeting From MNR

Urgent opening for Product Manager

Location – Mumbai (WFO)

Position Overview:

Product Manager, who reports and directly works with the VP Operations and manages end to end product life cycle, gathering and prioritizing product and customer requirements, defining the product vision, and working closely with the development team to deliver winning products in line with organization’s core values and ethics.

Primary Responsibilities:

• Automate workflows for Caregivers and Patients.
• Gathers, manages, and prioritizes business requirements..
• Works closely with Technology, Sales, Marketing, and support to ensure business case and customer satisfaction goals are met.
• Develops the business case for new products, improvements to existing products, and business ventures.
• Develops positioning for improving the app experience of gig workers
• Helps optimize conversion of leads from our own website.
• Contribute your expertise to product documentation, training materials and marketing collateral for each product offering.

Education and Experience:

Selection based on expertise and depth of domain in B2C sectors preferably startups which catering to target centric hyper-growth organizations. However prior experience of1-2years in Consumer Product Development/ Digital Consumer Product would be preferable.

RequiredSkills:

• Minimum of 4-6 years of experience in data modeling (including conceptual, logical and physical data models. • 2-3 years of experience inExtraction, Transformation and Loading ETLwork using data migration tools like Talend, Informatica, Datastage, etc. • 4-6 years of experience as a database developerinOracle, MS SQLor another enterprise database with a focus on building data integration process • Candidate should haveanyNoSqltechnology exposure preferably MongoDB. • Experience in processing large data volumes indicated by experience with BigDataplatforms (Teradata, Netezza, Vertica or Cloudera, Hortonworks, SAP HANA, Cassandra, etc.). • Understanding of data warehousing concepts and decision support systems.

• Ability to deal with sensitive and confidential material and adhere to worldwide data security and • Experience writing documentation for design and feature requirements. • Experience developing data-intensive applications on cloud-based architectures and infrastructures such as AWS, Azure etc. • Excellent communication and collaboration skills.

● Responsible for ensuring seamless guest experience.

● Take ownership of guest issues and follow problems through to resolution.

● Make decisions that are in the best interest of the company and the guests.

● Meet and maintain Vista standards and metrics such as guest satisfaction, accuracy, and efficiency.

● Provide guidance or assistance during the stay, post-booking to check-out, grievance handling, and provide

timely solutions.

● Ensuring timely collection of feedback post guests' stay.

● Reporting any damage of the property to the property operation team.

● Ensure closing of current guest tickets before next arrival.

● Ensure collection of extra payments during the stay.

● Keep up with the industry’s developments and apply best practices to the areas of improvement.