Data Analyst

Test Automation & Framework Development

• Design, develop, and maintain scalable web UI automation frameworks using Playwright (TypeScript / Python / JavaScript) following Page Object Model (POM) architecture
• Implement parallel execution, retry strategies, flaky test analysis, and test isolation for reliable, stable test runs
• Create and manage shared utilities — logging, test data handling, Microsoft Teams/Slack integrations, and HTML/Allure reporting
• Define coding standards, perform code reviews, and onboard team members to the automation framework

CI/CD & Pipeline Integration

• Configure and maintain GitHub Actions workflows for automated test execution — integrate with CI pipelines for reporting, failure screenshots, and alerting
• Set up Git-event-driven test triggers and post structured test result summaries to collaboration channels
• Work with shell scripting and Docker basics to support pipeline reliability and scalability

AI Agent Development & Integration

• Contribute to AI-native test automation pipelines leveraging LLM APIs (Claude API / OpenAI) — including intelligent test selection, auto test generation via Playwright Codegen, and automated defect reporting
• Build or support autonomous agent workflows with multi-step reasoning, tool use, and integration with external APIs (GitHub, Jira, REST APIs)
• Develop and refine prompt engineering strategies to build reliable, deterministic agent behavior
• Deploy and monitor AI agents via FastAPI or serverless functions; handle edge cases and output validation

Quality & Reporting

• Perform functional, regression, smoke, and end-to-end test coverage for web platforms
• Manage test data setup and teardown; generate Allure reports and share structured summaries with stakeholders
• Analyze test failures, identify root causes, and drive continuous improvement of test coverage and quality processes

Automation & Testing

• Strong proficiency in Playwright (TypeScript / Python / JavaScript) for web UI automation
• Solid understanding of Page Object Model (POM) and scalable framework design principles — must have designed frameworks, not just written scripts
• Familiarity with BDD frameworks such as Cucumber
• Experience with test runners: pytest or Playwright Test Runner
• Hands-on experience with Selenium WebDriver is a plus

Languages & Tools

• Proficient in TypeScript and/or Python; familiarity with JavaScript is a plus
• Experience with GitHub Actions and CI/CD pipeline configuration hands-on YAML writing required
• Working knowledge of Shell / Bash scripting
• Familiarity with REST API testing and integrations with tools like GitHub and Jira

AI & LLM Exposure

• Working knowledge of LLM APIs (Claude API / OpenAI) for building AI-powered automation or agent workflows
• Hands-on experience with prompt engineering for reliable, structured agent outputs
• Exposure to MCP (Model Context Protocol) or agent skill-based design patterns
• Familiarity with FastAPI for deploying lightweight agent services

Soft Skills

• Strong debugging, analytical, and problem-solving skills — must be able to diagnose failures live
• Ability to independently own modules and drive projects with minimal supervision
• Good communication skills; ability to write structured summaries and documentation for both technical and non-technical stakeholders

JD (Job Description) focuses on driving sales, managing operations, and leading staff, covering responsibilities like achieving targets, visual merchandising, inventory control, customer service excellence, staff recruitment/training, ensuring brand consistency, and analyzing sales data, all while upholding company policies and maintaining a positive store environment. Key qualifications include leadership, retail experience (preferably apparel), strong communication, POS system proficiency, and a customer-focused approach. 

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Field Deployment Engineer (Customer Integrations)

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Why this role exists

Most enterprise AI deployments fail not because the tech doesn’t work—but because they never go live fast enough.

We are solving that.

This role exists to ensure that every signed deal becomes a live, production-grade deployment in weeks—not months.

What you’ll do

This is not a support or integration role.

You will operate like a Forward Deployed Engineer — owning delivery end-to-end.

1. Own deployments from SOW → go-live

• Deploy integrations across insurers like HDFC Life, SBI Life, ICICI Prudential Life Insurance
• Deliver first successful interaction within 15 days of SOW signature
• Work directly in live enterprise environments (not sandbox demos)

2. Reduce time-to-value aggressively

• Take deployment timelines from 90 days → 30 days within 6 months
• Identify bottlenecks across:
• APIs
• Data availability
• Customer dependencies
• Internal workflows
• Fix systems — don’t escalate problems

3. Build the integration playbook

• Standardize deployments across:
• Policy admin systems (LifeAsia, Ingenium)
• CRM platforms like Salesforce
• Telephony systems like Exotel
• Create reusable templates, connectors, and workflows
• Ensure every deployment becomes faster than the last

4. Work on real enterprise systems

• Active accounts include:
• Chola, Generali, TVS Finance, Home Credit, Brigade, DLF, Jaro, Delhivery
• Handle:
• Incomplete APIs
• Legacy systems
• Integration edge cases
• Own resolution end-to-end

5. Translate business → production systems

• Understand use cases like:
• Renewals / persistency
• Claims servicing
• Sales and onboarding workflows
• Convert requirements into:
• Working integrations
• Live agent workflows
• Production-ready systems

What success looks like

• Deployments go live in ≤ 15 days
• Time-to-first-interaction becomes predictable and repeatable
• Integration effort reduces with each new customer
• Customers see real value in weeks, not quarters

Who you are

• You have 2-5 years of experience building or integrating systems
• Comfortable working with APIs, CRMs, and backend systems
• You don’t wait for perfect specs — you figure things out and ship
• You think in systems and outcomes, not tickets
• You are comfortable being customer-facing and accountable

What will make you stand out

• Experience with enterprise systems (insurance / fintech / CRM)
• Built integrations across multiple systems
• Reduced deployment timelines in previous roles
• Can debug across layers: API → infra → workflow → user experience

Why join

• You will work on real enterprise deployments from Day 1
• Your work directly impacts revenue realization and go-live success
• You will help build the deployment engine of an AI company

Role: Senior Software Developer (Backend) - .Net with Microservices & Cloud

YOE: 6.5+ years

Skills: C#, ASP. Net, Microservices Architecture, ASP.NET Core, Web API development, Azure

Kubernetes Service (AKS), API Gateway / Azure API, Entra (Authentication), Azure Service Bus, Azure

Functions, Azure Blob storage, Caching, NoSQL Databases

About the role:

The Software Developer Senior Designs, builds, tests, and – most importantly – ships high-value software

that solves real problems. Strives for security, performance, simplicity, usability, and maintainability.

Mentors and guides less experienced software engineers.

Responsibilities:

1. Team Contribution

● Works within established agile methods, promoting an atmosphere of continuous improvement.

● Continuously learns new technologies and patterns and practices.

● Documents knowledge for the benefit of the team.

● Reports to the team on obstacles and roadblocks.

● Participates in, and occasionally leads, sprint planning, standups, retrospectives, and other team

meetings.

● Promote patterns and best practices on the team.

● Mentors and guides the less experienced software engineers.

2. Planning and Design

● Works with the product team and stakeholders to refine and document requirements.

● Estimates effort for planning purposes.

● Designs and documents enterprise-level software architecture, consulting with Enterprise

Architecture when appropriate.

3. Development

● Writes code to develop software that meets requirements and specifications.

● Follows established software development life cycle (SLDC).

● Writes code with readability and future maintenance in mind.

● Follows established source control standards and best practices.

● Adheres to established secure coding practices.

● Reviews code for other developers.

● Leads team-based development efforts.

4. Quality Assurance

● Validates QA findings and fixes defects.

● Develops integration and testing points in the software that allow for QA testing.

● Assists QA in running performance and load tests.

5. Release

● Assists with release planning and releases.

6. Support

● Assists the support team as needed, including root cause analysis.

● Writes maintenance and metric statistics scripts and entry points for measuring and monitoring.

Requirements:

Solid Understanding of The Following:

● Microservices Architecture:

Confidential. c Foxsense Innovations. 1

● Microservices design principles (bounded contexts, loose coupling)

● API-first design and contract management

● Event-driven design principles

● Asynchronous messaging patterns

● Eventual consistency concepts

● Idempotency and message replay handling

● ASP.NET Core Web API development

● Web Apps

● Azure Kubernetes Service (AKS)

● Azure Blob Storage usage and lifecycle management

● API Gateway / Azure API Management concepts

● Entra (Authentication)

● Azure Service Bus

● Azure Functions

● Caching

● NoSQL DatabasesProcesses & Standards: Git, GitFlow, OO Programming, Kanban, Secure

Coding, & Agile Methodologies

Bonus Skills:

● Excellent written and verbal communication

● Excellent documentation

● Continuous learning

● Collaboration across team and functional boundaries

● Troubleshooting and creative problem solving

● Design simple architecture that supports complex applications and APIs

● Architect extensible databases

● Author complex component-based client applications and restful APIs

● Perform advanced CRUD operations against multiple data sources

● Manipulate enterprise level data structures

● Mentor less experienced team members

● Take ownership of team processes and legacy applications

● Perform business analysis tasks, such as requirements gathering and wireframing

Job Description

Title - Lead Snowflake Developer

Location - Chennai/Hyderabad/Bangalore

Role - Fulltime

Notice Period/Availability - Immediate

Years of Experience - 6+

Job Description:

• Overall 6 years of experience in IT/Software development
• Minimum 3 years of experience working with Snowflake.
• Designing, implementing and testing cloud computing solutions using Snowflake technology.
• Creating, monitoring and optimization of ETL/ELT processes.
• Migrating solutions from on-premises to public cloud platforms.
• Experience in SQL language and data warehousing concepts.
• Experience in Cloud technologies: AWS, Azure or GCP.

Key Responsibilities:

• Rewrite existing APIs in NodeJS.
• Remodel the APIs into Micro services-based architecture.
• Implement a caching layer wherever possible.
• Optimize the API for high performance and scalability.
• Write unit tests for API Testing.
• Automate the code testing and deployment process.

Skills Required:

1. At least 2.5 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds.
2. Excellent hands-on experience using MySQL or any other SQL Database.
3. Good knowledge of MongoDB or any other NoSQL Database.
4. Good knowledge of Redis, its data types, and their use cases.
5. Experience with graph-based databases like GraphQL and Neo4j.
6. Experience developing and deploying REST APIs.
7. Good knowledge of Unit Testing and available Test Frameworks.
8. Good understanding of advanced JS libraries and frameworks.
9. Experience with Web sockets, Service Workers, and Web Push Notifications.
10. Familiar with NodeJS profiling tools.
11. Proficient understanding of code versioning tools such as Git.
12. Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms.
13. Should be a fast learner and a go-getter — without any fear of trying out new things Preferences.
14. Experience building a large-scale social or location-based app.

Qualifications:

BTech/BE in computer science, electrical, electronics or related fields 5+ years of full stack design and development experience High emotional intelligence, empathy and collaborative approach. Experience in Angular Javascript frameworks, CSS, HTML5, NodeJS, ExpressJS, MongoDB to handle full stack web development. Experience with developing rich dynamic front end applications using Angular and CSS frameworks like BulmaCSS, Angular Material, Bootstrap, etc. Knowledge of GraphQL would be an added advantage. Knowledge of Cloud services like AWS, Heroku, Azure is preferable. Should be a quick learner to keep up with the pace of the ever changing world of technology as the candidate will get excellent exposure to the latest and trending Cloud based Saas technologies and best practices while working with varied customers based across the globe.

Responsibilities:

Develop web applications covering end to end software development life cycle right from writing UI code using Angular to backend API code using NodeJS and managing databases like MongoDB, MySQL, etc. Involved in full stack code management from Git check-ins to running automated builds and deployments using DevOps practices to deploy to public cloud services like AWS, Azure, Heroku, etc. Handling full-stack web development workflow right from front end to backend to CI/CD workflows. Design and Develop the tech architecture and work closely with CEO and CTO of the company Drive and guide with work of other engineers on the team

This is a leadership role and candidate is expected to wear multiple technical hats including customer interactions and investor discussions

• Elocity is a cleantech start-up striving to make the world a better place through technology innovations. We are building a global infrastructure for making the transition to electric vehicles viable, affordable, and sustainable by working closely with the utilities, governments, and public.  
•  
• Headquartered out of Canada, we are a team of highly specialized domain experts and problem solvers enabling utilities, public and private sector entities to successfully manage the demands of electric vehicle charging and its infrastructure needs to pave the way for electromobility in future.  
• To know more visit https://elocitytech.com/" target="_blank">https://elocitytech.com/ 

• Responsibilities:  
• Determines technical feasibility of features or solutions by evaluating problem, customer requirements, possible solutions and technology requirements.  
• Exercises judgement in prioritizing tasks and selecting methods and techniques for obtaining solutions.  
• Create low-level design of modules of a software application through proper documentation and diagrams.  
• Develops software solutions by studying requirements, clarifying customer/user needs, analysing data and processes and following established software development practices and processes.  
• Develops proof of concepts for technical evaluation and early customer feedback  
• Updates and shares knowledge by studying state-of-the-art development tools, programming techniques, and computing technology; reading professional publications  
• Networks with internal and external personnel in own area of expertise.  

• Good command in JavaScript/TypeScript. Knowledge of Java/Python will be a plus.  
• Experience in Debugging/troubleshooting TypeScript code.  
• Experience in API development (REST/GraphQL etc)  
• Experience in development of Web and Mobile(android/iOS) applications  
• Exposure of Parallel and Asynchronous programming  
• Experience in writing Unit tests (Jest or any similar framework)  
• Should be proficient in relational Database concepts (Postgres etc.)  
• Knowledge of Non-relational Databases would be a plus.  
• Good Understanding of Object-Oriented Programming Concepts.  
• Good Understanding of Design Patterns.  
• Good command of Data structures, Algorithms and Complexity.  
• Good at problem solving and analytical skills.  
• Experience with Source Code Versioning systems (Git etc)  
• Understanding of Micro services Architecture would be a plus has context menu