50+ Startup Jobs in Bangalore (Bengaluru) | Startup Job openings in Bangalore (Bengaluru)

What would you be doing? ● Drive strategic design decisions across multiple product streams ● Lead, mentor and inspire a multi-disciplinary product design team. ● Collaborate with Product and Engineering to define product vision, roadmap, and execution ● Collaborate with visual designers and motion designer to create aesthetically beautiful and delightful interface ● Translate insights, research, and business needs into intuitive product experiences ● Set and maintain a high bar for design craft, usability, and accessibility ● Build predictable processes for reviews, feedback, collaboration, and delivery ● Oversee end-to-end design—from discovery to launch and iteration ● Partner closely with UX Research, Content Design, and Design System teams ● Ensure alignment with brand and platform guidelines across experiences ● Advocate for users in key decision-making spaces and represent design leadership ● Contribute to hiring, onboarding, and performance development of designers ● Collaborate with Product and Engineering to define product vision, roadmap, and execution ● Collaborate with visual designers and motion designer to create aesthetically beautiful and delightful interface ● Translate insights, research, and business needs into intuitive product experiences ● Set and maintain a high bar for design craft, usability, and accessibility ● wBuild predictable processes for reviews, feedback, collaboration, and delivery ● Oversee end-to-end design—from discovery to launch and iteration ● Partner closely with UX Research, Content Design, and Design System teams ● Ensure alignment with brand and platform guidelines across experiences ● Advocate for users in key decision-making spaces and represent design leadership ● Contribute to hiring, onboarding, and performance development of designers Who are we looking for? ● 8+ years of experience in product/UX design with at least 2+ years in a leadership role Strong portfolio demonstrating shipped products across platforms (web, Android/iOS) ● Experience managing and growing design teams ● Strong storytelling and cross-functional collaboration skills ● Ability to simplify complex data and workflows into elegant experiences ● Expertise working with design systems and scalable patterns ● Solid understanding of research methods and analytics-based decision making ● Comfort operating in a fast-paced, high-growth environment What would be a value add? ● Experience in e-commerce / marketplace / B2C ● Familiarity with motion, illustration, and tools like rive/lottie etc ● Designed with AI workflow is plus.

About the Role

We are seeking a versatile, creative Graphic Designer to join our team in Bengaluru. From crafting sleek brand assets and illustrations to filming and editing dynamic social content, you will be expected to turn creative ideas into polished, high-impact visuals.

If you have a sharp eye for modern aesthetics, hands-on video editing chops, and an appetite for leveraging generative AI design tools, we’d love to have you on board.

Required Skills & Qualifications

• Experience: 1-3 years of professional experience in graphic design and digital content creation.
• Software Proficiency: Advanced command of the Adobe Creative Suite (Photoshop, Illustrator, Premiere Pro, After Effects) and Figma.
• Video & Production: Hands-on experience with videography/reel making.
• AI Tooling: Familiarity with modern Generative AI tools for imagery, storyboard generation, and workflow automation.
• Design Fundamentals: Solid foundation in layout, typography, color theory, and composition.
• Portfolio: A portfolio showcasing graphic design, branding identity work, illustration, and edited video samples is required.

What We Offer

• Hands-on creative ownership across a wide variety of brand and digital media projects.
• Fast-paced, collaborative studio environment in Bengaluru.

About SwitchKart Technology Private Limited

Switchkart Technology Pvt. Ltd. is a fast-growing company specializing in purchasing and reselling pre-owned mobile phones. We are committed to offering customers convenient, reliable, and value-driven solutions for upgrading and recycling their devices.

Our Founder & Director previously founded Fydox Technologies Pvt. Ltd. in 2019, which became one of India’s largest buyers of pre-owned mobile phones from e-commerce platforms such as Flipkart and Amazon. Building on that expertise, Switchkart aims to set a new benchmark in the pre-owned mobile device market—through tighter quality checks, smarter sourcing strategies, and unwavering customer trust.

We are looking for highly enthusiastic professionals who can take ownership of this role, manage inventory operations efficiently, and ensure accuracy across all inventory processes.

Key Responsibilities

Inventory Management: Maintain accurate records of incoming and outgoing mobile devices and accessories in ERP systems.

Stock Monitoring: Track stock levels, identify shortages, and coordinate with procurement and warehouse teams for replenishment.

GRN & Documentation: Ensure proper Goods Receipt Note (GRN) entries and maintain inventory documentation accurately.

Quality Coordination: Coordinate with QC/FQC teams to ensure devices are properly tagged and stored after inspection.

Stock Audits: Conduct regular physical stock checks and reconcile discrepancies with system records.

Dispatch Coordination: Work closely with logistics and sales teams to ensure timely order fulfillment and dispatch.

Reporting: Prepare daily/weekly inventory reports including stock movement, aging stock, and variance reports.

System Updates: Ensure all inventory movements are updated in ERP/Zoho systems in real time.

Qualifications & Skills

Education: BBA / B. Com / Any Graduate in Business, Supply Chain, or related field.

Experience: 0–1 years in inventory, warehouse, logistics, or e-commerce operations (freshers with strong aptitude are welcome).

Languages: Fluency in Kannada, English, and Hindi is mandatory.

Skills: Strong attention to detail, proficiency in MS Excel and ERP systems, good coordination skills, and ability to work in a fast-paced environment.

Key Attributes

High level of ownership and accountability

Strong organizational skills

Ability to multitask and prioritize effectively

Integrity and discipline in handling inventory

Team player with problem-solving mindset

About Switchkart Technology Private Limited

Switchkart Technology Pvt. Ltd. is a fast-growing company specializing in purchasing and reselling pre-owned mobile phones. We are committed to offering customers convenient, reliable, and value-driven solutions for upgrading and recycling their devices.

Our Founder & Director previously founded Fydox Technologies Pvt Ltd in 2019, which became one of India’s largest buyers of pre-owned mobile phones from e-commerce platforms such as Flipkart and Amazon. Building on that expertise, Switchkart aims to set a new benchmark in the pre-owned mobile device market—through tighter quality checks, smarter sourcing strategies, and unwavering customer trust.

Role Overview

We are seeking energetic and customer-focused Inside Sales Executives to drive lead conversion, customer engagement, and sales growth. The ideal candidate should have excellent communication skills, sales acumen, and a passion for building customer relationships.

Key Responsibilities

Ø Handle inbound and outbound sales calls, emails, and chat inquiries.

Ø Convert leads into sales by explaining Switchkart’s services and offerings.

Ø Maintain and update the CRM system with accurate lead and customer details.

Ø Build long-term relationships with customers through consistent follow-ups.

Ø Work with the marketing and operations teams to achieve monthly sales targets.

Ø Provide timely feedback on customer trends, objections, and market needs.

Ø Prepare daily/weekly sales reports and share insights with the management team.

 Qualifications & Skills

Ø Education: Minimum BBA or Bachelor’s degree in Business/Commerce/Marketing.

Ø Experience: 0–2 years in Inside Sales, Telesales, or Customer Relationship Management (freshers may also apply).

Ø Languages: Fluency in Kannada, English, and Hindi is mandatory.

Ø Skills:

o  Excellent communication and persuasion skills.

o  Ability to handle objections and close sales effectively.

o  Proficiency in MS Office and CRM tools.

o  Goal-oriented and target-driven mindset.

o  Strong interpersonal and negotiation skills.

 Key Attributes

Ø Energetic and positive attitude.

Ø Strong problem-solving approach.

Ø to thrive in a fast-paced, dynamic environment.

Ø Ability Passion for customer success and achieving sales excellence.

Data Engineer

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 3-5 years

Role Overview  

What We’re Looking For:

• Bachelor’s degree in Computer Science/Engineering or equivalent experience required.
• Experience designing and shipping cloud services products.
• Experience driving and managing technical and architectural dependencies on AWS Cloud.
• A firm understanding of system architecture, cloud computing, PaaS/SaaS design principles, S3, DynamoDB, RDS mandatory.
• Experience in building or maintaining ETL processes and tools, i.e., AWS Glue or any open-source tool.
• Proven system-level design contribution to a current “Live” (in production / under daily high load) multi-region SaaS or PaaS offering.
• Proven experience with S3, DynamoDB, SQL, and AWS RDS services.
• Proficiency in programming languages such as Python.
• Strong analytical and problem-solving skills.
• 
  

Required Skills & Experience

• Experience with Python, SQL, and data visualization/exploration tools.
• Familiarity with the AWS ecosystem, specifically S3, DynamoDB, and RDS.
• Communication skills, especially for explaining technical concepts to nontechnical business leaders.
• Ability to work on a dynamic, research-oriented team that has concurrent projects.
• Experience in AWS cost optimization (Savings Plans, Reserved Instances, Spot Instances) and governance frameworks.
• Experience developing solutions using infrastructure orchestration tools (SSM, automation account, Ansible, etc.).
• Excellent leadership, stakeholder management, and communication skills.

What We Offer

• Work with some of the brightest minds in the emerging EV industry.
• Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
• Freedom to suggest, implement, and innovate on systems, processes, and technologies.
• Daily ownership in a high-growth, challenging environment.
• Flexible work environment with hybrid schedules and virtualization options.
• Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.

UNext

Job Description – Admission Counsellor

About the Role

UNext is a next-generation online learning organization focused on the higher education

ecosystem. UNext aims to improve access, increase affordability, provide high-quality content and

pedagogy, and deliver enhanced outcomes for the student/learner community by leveraging

technology.

UNext is India’s first ed-tech company that provides end-to-end learning and assessment solutions

in the online education space. With a best-in-class content and technology stack, UNext offers

platforms for online courses, digital and online assessments, and student engagement tools.

The platform is designed to help universities, colleges, and institutions make quality education

affordable and accessible to learners anytime and anywhere. Replicating the on-campus

experience online, UNext provides an immersive learning experience through a mobile-first LMS

platform, access to world-class courses through synchronous and asynchronous learning, modern

pedagogy, online assessments, alumni networks, and expert assistance to improve learner

outcomes.

Role Overview

The Admission Counsellor will play a fundamental role in achieving customer acquisition goals and

revenue growth objectives. The candidate will be responsible for guiding prospective students

through the admission process, understanding their educational needs, and recommending suitable

programs.

Key Responsibilities

• Source new sales opportunities through inbound lead follow-up and outbound cold calls and

emails.

• Responsible for student admissions and achieving assigned sales targets.

• Understand customer needs and recommend suitable programs.

• Close sales and achieve quarterly revenue quotas.

• Counsel and interact with students and parents regarding program options.

• Support students one-on-one with course selection, application process, and meeting deadlines.

• Assist students in obtaining necessary documentation required for the application process.

• Provide students and parents with information regarding admission requirements, enrollment

processes, and procedures.

• Coordinate efficient handling of applications and communication with parents of student applicants.

Requirements

• Ability to empathize with students and parents and build strong relationships through

conversations.

• Strong inclination to work in a target-driven sales environment.

• Proven expertise in converting leads into sales.

• Experience working with CRM systems.

• Fluency in English and Hindi is mandatory.

• Strong listening, communication, and presentation skills.

Job Details

Location MG Road, Bangalore

Working Days 6 Days a Week

Senior Software Engineer – Backend

Company: House of EdTech (Goenka Kachave LLP)

Location: Bangalore, Hybrid

Job Type: Full-Time

Experience: 5+ Years

About the Role

House of EdTech is looking for a Senior Software Engineer – Backend to design, develop, and scale high-performance backend services and APIs supporting products used by millions of learners.

You’ll work closely with Product, Frontend, Data, and Engineering teams while taking end-to-end ownership of backend features and contributing to system architecture and technical decisions.

What You'll Do

• Design and develop scalable backend services and REST APIs.
• Build reliable systems capable of handling high traffic and large data volumes.
• Own backend features from design and development through deployment and monitoring.
• Work with microservices, databases, and distributed systems.
• Identify and solve performance, scalability, reliability, and security challenges.
• Participate in system design and architecture discussions.
• Conduct code reviews and contribute to engineering best practices.
• Mentor junior and mid-level engineers.
• Monitor production systems and troubleshoot incidents.

What We're Looking For

• 5+ years of professional backend development experience.
• Strong hands-on experience with Java, Python, Scala, C++, or a similar language.
• Experience building and operating large-scale distributed systems.
• Strong understanding of REST APIs, microservices, and databases.
• Experience with cloud/infrastructure technologies such as GCP, Docker, or Kubernetes.
• Strong software engineering fundamentals, including security, reliability, testing, and code quality.
• Experience with system design, architecture, and technical decision-making.
• Strong communication and cross-functional collaboration skills.
• Experience mentoring engineers is a plus.

Why Join House of EdTech?

• Work on products impacting millions of learners.
• Solve challenging backend and scalability problems.
• Take significant ownership of architecture and engineering decisions.
• Opportunity to grow into technical leadership and architectural ownership.
• Work in a fast-growing technology environment.

Job Description

• Design and Implement Data Solutions: Lead the design, development, and implementation of scalable and secure Azure-

based data platforms, ensuring integration with various data sources and business systems. Deliver at least 2 major

projects every year with a focus on data engineering best practices.

• Optimize Data Pipelines: Build and optimize end-to-end data pipelines using Azure Data Factory, Azure Databricks, and

Azure Synapse, with an emphasis on automating data workflows. Achieve a 20% reduction in pipeline execution times

within the first 6 months.

• Cloud Infrastructure Management: Manage and maintain the Azure data environment, ensuring high availability, disaster

recovery, and cost optimization. Track and improve system uptime to exceed 99.9% reliability.

• Collaborate with Cross-Functional Teams: Partner with data scientists, data analysts, and business stakeholders to translate

business requirements into efficient data solutions. Facilitate at least 3 collaborative sessions per quarter to address key

business use cases.

• Ensure Data Security & Compliance: Implement data security measures, ensuring compliance with industry regulations

(GDPR, HIPAA, etc.) and company policies. Achieve and maintain full compliance in all data environments within the first

quarter of onboarding.

• Continuous Learning & Knowledge Sharing: Stay up-to-date with emerging Azure technologies, and mentor junior

engineers to promote knowledge sharing. Complete 1 Azure certification annually and conduct at least 2 internal

knowledge-sharing sessions per year.

• Sound knowledge of data governance practices, data quality management, and data security principles.

• Play a pivotal role in shaping our organization's data-driven journey, driving innovation through data analytics and insights.

• Optimize data storage, processing and retrieval mechanisms for performance, cost, and scalability using data storage

services (such as Azure Data Lake Storage, Azure SQL Database, etc.), data processing services (such as Azure Data Bricks,

Azure Synapse, etc.) and data visualization (PowerBI, Qlik, etc.) & integration services (Data API builder, logic apps, etc.)

• Monitor and troubleshoot data platform performance, identify and resolve issues, and provide recommendations for

continuous improvement.

• Collaborate with DevOps teams to automate deployment, configuration, and monitoring processes using Azure DevOps,

PowerShell, or other relevant tools.

• Stay up to date with the latest trends and advancements in cloud data services and provide recommendations on adopting

new technologies or features to enhance the data platform.

• Document technical designs, procedures, and guidelines for data platform engineering and operations

Knowledge, Skills & Experience

Job Experience • Bachelor's degree in Computer Science, Engineering, or a related field. Advanced

degree preferred.

• Proven 6-10 years experience in playing platform engineer or admin role

• Experience with big data technologies such as Apache Spark, Hadoop, or similar

frameworks.

• Solid understanding of cloud computing concepts and experience with cloud

infrastructure management and provisioning.

• Solid understanding of network security concepts and technologies (such as

firewalls, VPNs, intrusion detection/prevention systems, etc.) and data security

concepts and technologies (such as access controls, encryption, observability,

privacy laws/regulations, etc.)

• Experience in a Retail setup is preferred.

Required Skills The position will require someone with the following:

• Strategic Planning

Public

• Communication and Collaboration

• Problem Solving Skills A/B testing & experimentation

• SQL, BI tools, and storytelling with data

Company Overview:

Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions for the digital enterprise. Operating at the intersection of cloud computing and enterprise software, the company develops high-performance platforms that streamline complex business operations. With a strong presence in the Bangalore tech ecosystem, Euphoric Thought Technologies supports clients across diverse sectors by delivering robust, secure, and efficient backend architectures that power modern digital experiences.

Role Overview:

As a Java Developer, you will be responsible for designing and maintaining the core backend systems that drive our client platforms. You will work closely with cross-functional product and engineering teams to translate complex business requirements into high-quality, maintainable code. Your contribution will directly impact the scalability and reliability of our services, ensuring that our end-users experience seamless performance as we continue to expand our technical footprint.

Key Responsibilities:

- Develop and maintain high-performance backend services using Java and Spring Boot to ensure system reliability for our enterprise clients.

- Design and implement scalable microservices architectures that allow for modular growth and easier maintenance of complex application features.

- Optimize database interactions and data persistence layers using Hibernate to improve application speed and resource efficiency.

- Build and expose secure RESTful web services to facilitate seamless communication between internal systems and third-party integrations.

- Deploy and manage application infrastructure on AWS to ensure high availability and fault tolerance for mission-critical business processes.

- Collaborate with engineering leads and stakeholders to troubleshoot production issues and implement performance enhancements that improve the overall user experience.

Required Skillset:

- Demonstrated expertise in Java development with 3 to 6 years of hands-on experience in building enterprise-grade applications.

- Proficiency in Spring Boot and Hibernate for developing robust backend frameworks and managing complex data models.

- Strong understanding of microservices architecture and the ability to design decoupled, scalable service components.

- Practical experience in developing and consuming RESTful web services within a distributed environment.

- Hands-on experience with AWS services for cloud deployment, monitoring, and infrastructure management.

- Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical stakeholders.

- Ability to work effectively in a hybrid office environment in Bangalore, collaborating with distributed teams to meet project milestones.

What You'll Do Affiliate Marketing: ● Identify, onboard, and manage affiliate/partner relationships across finance and investing niches ● Track affiliate performance (clicks, signups, conversions, payouts) and optimize commission structures ● Coordinate with affiliate networks and individual partners on creatives, links, and tracking setup ● Monitor affiliate compliance and flag fraudulent or low-quality traffic Influencer Marketing: ● Source and shortlist finance/fintech influencers and content creators across Instagram, YouTube, and X ● Manage outreach, negotiation, briefing, and campaign execution end-to-end ● Track influencer campaign performance (reach, engagement, conversions, ROI) and build a repeatable playbook ● Build and maintain relationships with a pipeline of creators for ongoing collaborations Supporting Channels: ● Support content and social team with campaign assets tied to affiliate/influencer pushes ● Track and report on growth metrics (CAC, conversion rate, ROI by channel) using analytics tools ● Conduct competitor research on affiliate/influencer strategies in the fintech and investing space What We're Looking For ● Pursuing or recently completed a degree in Marketing, Business, Communications, or related field ● Genuine interest in affiliate and influencer/creator marketing ● Comfortable with outreach and relationship management — cold emails/DMs, negotiation ● Basic understanding of marketing tools or willingness to learn quickly ● Familiarity with social platforms and creator ecosystems (Instagram, YouTube, X) ● Analytical mindset — comfortable tracking ROI and campaign performance ● Excellent written and verbal communication skills ● Self-starter with strong ownership, able to work in a fast-paced startup environment

AI & Data Engineering – Role Overview

What You’ll Do

🤖 AI Architecture & Agentic Deployment

• Design, develop, and deploy production-grade AI applications and intelligent agents using Azure AI Foundry.
• Build scalable, secure, and fully governed enterprise AI solutions.

📊 Data Foundations & Modernization

• Architect high-performance data models and automated pipelines using Azure Databricks, Python, and Apache Spark.
• Modernize legacy systems and tune Spark clusters for performance.

🧠 LLMs & Prompt Engineering

• Apply advanced prompt engineering techniques.
• Fine-tune LLM workflows and manage enterprise AI integrations across complex business environments.

👨‍💻 Technical Leadership & Mentoring

• Act as the primary Subject Matter Expert (SME) for AI and data engineering.
• Design end-to-end architectures and mentor junior engineers.
• Actively contribute to technical guilds and communities of practice.

🤝 Strategic Stakeholder Management

• Translate data and AI strategy into robust IT solutions.
• Present findings, metrics, and architectures to technical teams and business leaders.
• Drive technology adoption and alignment across stakeholders.

⚙️ Operations & Change Governance

• Oversee incident, problem, and change management processes for production AI and data workflows.
• Ensure high availability, speed of delivery, and cost efficiency.

What We’re Looking For

• 6+ years of high-impact engineering experience architecting, building, and deploying LLM applications, custom agents, and governed AI solutions on Azure AI Foundry.
• Deep proficiency in Python for data pipeline engineering and custom AI development.
• Advanced technical expertise in Azure Databricks, including:
• PySpark
• Cluster optimization
• Modern lakehouse design
• Strong foundation in:
• SQL
• High-volume ETL/ELT pipeline design
• Data modeling frameworks
• Deep knowledge of:
• Prompt engineering
• LLM orchestration
• Evaluation frameworks
• AI guardrails within Azure ecosystems
• Outstanding communication skills, with a proven ability to influence both technical teams and non-technical business stakeholders.

What You’ll Get

Your work matters—and so do you. That’s why we back your skills with a structure that supports your development, celebrates your wins, and helps you keep growing professionally and personally.

🚀 Growth & Development

• Accelerate Your Career: Lead delivery across diverse industries and cutting-edge technologies while expanding your leadership mindset.
• Access Global Brands: Engage directly with world-leading businesses and manage relationships at the executive level.
• Proprietary Frameworks & Accelerators: Use established playbooks and toolkits to fast-track meaningful work and project outcomes.
• Paid Certifications: Stay ahead with certifications across ITIL, PMP, and major cloud platforms.

🏆 Culture & Rewards

• Supportive Leadership: Benefit from senior mentoring and clear pathways into practice leadership or account management.
• 360° Progress Reviews: Receive honest, developmental feedback to fuel your professional growth.
• Guilds & Weekly Training: Learn from peers through communities focused on data, AI, and delivery excellence.
• Hackathons & Innovation Days: Challenge yourself to build innovative solutions beyond business as usual.
• Kudos & Recognition: Great work doesn’t go unnoticed, supported by impact-based rewards and incentives.
• Vivanti Articulate: Master executive communication through a specialized public-speaking program.
• Employee Assistance Program: Access support for medical, mental, and personal wellbeing.
• Real Connection: Enjoy Friday socials, team-building days, and a collaborative team environment.

Final Word

If you're looking for a place where your growth goes into overdrive, where you'll work with great people, gain access to cutting-edge technology, and genuinely enjoy the journey—this could be the opportunity for you.

Sales & Marketing Intern

Location: Bangalore (in-office)

Duration: 6 months

About the Role

We're looking for a Sales & Marketing Intern to join Inflexion Analytics for a 6-month, in-office internship in Bangalore. You'll sit close to our Sales Director and Business Development team, and get hands-on exposure to how a specialist analytics consultancy actually wins and grows client relationships — from first-touch research all the way through to proposal, pitch, and handover to delivery.

This is a genuine learning role. You'll do real market and account research that shapes real outbound campaigns, help build the pitch materials that go in front of real clients, and get a working understanding of the full GTM motion of a growing B2B services firm.

The ideal candidate is a recent graduate who's curious, organised, and commercially minded — someone who's comfortable jumping between deep research, deck-building, light automation, and a bit of content and website work in the same week.

Key Responsibilities

•     Conduct market and account research on target companies and buyers to support the Sales Director and BD team.

•     Help identify new business opportunities — potential clients, verticals, and partnerships — through structured research and market analysis.

•     Assist in developing sales presentations, proposals, and pitch materials across a range of GTM strategies and service lines.

•     Maintain and update data on internal systems (CRM, pipeline trackers, shared drives) and help keep communication flowing smoothly between the sales and delivery functions.

•     Participate in meetings with prospects, partners, and internal management teams — taking notes, capturing action items, and following up.

•     Provide day-to-day administrative and operational support to the BD team so the senior team can stay focused on high-value client conversations.

•     Build lightweight low-code / no-code automations to streamline recurring sales and marketing workflows (e.g. lead enrichment, follow-up sequences, reporting).

•     Support the maintenance of the company website — small content updates, publishing new pages and posts.

•     Help publish content across the company's website and social channels (primarily LinkedIn).

•     Produce short demo videos and other marketing content using AI-powered tools.

Qualifications

•     Recently completed a bachelor's or master's degree in business, marketing, economics, or a related field.

•     Strong written and verbal communication, with sharp attention to detail.

•     Analytical mindset — comfortable digging into companies, industries, and buyers, and turning findings into a clear point of view.

•     Proficiency in Microsoft Office (Excel, PowerPoint, Word) and/or Google Workspace.

•     Proficient with modern AI tools (Claude, ChatGPT, Gemini) — you already use them daily and know how to prompt well.

•     Comfortable picking up and experimenting with low-code / no-code automation platforms (e.g. Zapier, Make, n8n, or similar).

•     Some hands-on exposure to content creation with AI tools — short videos, social posts, or web content — either through prior work, projects, or personal initiative.

•     Ability to work independently and as part of a small, fast-moving team in a rapid-change environment.

•     Prior experience in sales, marketing, or business development (through internships, projects, or coursework) is a plus.

•     Basic familiarity with maintaining or updating websites (WordPress, Webflow, or similar) is a plus, not a requirement.

Who are we?

Inflexion Analytics is a team of data science and analytics consultants based in London, UK, and Bangalore, India. Founded in 2015, we have built a strong track record and foundation serving demanding clients. We are now looking to achieve significant growth and become a leading specialist consultancy in the data science field.

What we do?

We help businesses improve performance through better insight and decision-making. To achieve this, we offer services across the data science value chain including data strategy, data engineering, data insights, and visual analytics. We work with a global client base, including clients in the US, UK, Europe, and Australia.

Position: Chartered Accountant

Location: Devanahalli

Reporting to: Deputy Manager / CFO

Key Responsibilities:

Financial Reporting

o Preparation of monthly standalone and consolidated financial statements.

o Coordination with group entities for timely submission of monthly compliance requirements.

o Preparation of monthly expense variance analysis and reporting to management.

Compliance & Audit

o Addressing monthly requirements of Adani Group and other stakeholders.

o Coordinating with statutory auditors / Internal Auditors for quarterly closures and ensuring timely completion.

o Performing quarterly 26AS reconciliation with books of accounts.

Fixed Assets & Banking

o Managing and reviewing the consolidated fixed assets register, including monthly computation and reconciliation.

o Handling monthly banking requirements related to company financiers and ensuring smooth liaison with banks.

General Responsibilities

o Supporting management in ad-hoc requirements related to finance, accounting, and compliance.

o Assisting in process improvements, system enhancements, and strengthening internal controls.

As an Associate Technical Architect - Data, you will lead the end-to-end design, architecture, and implementation of enterprise-scale AWS data platforms and Lakehouse solutions. You will provide technical leadership across the entire project lifecycle—from solution architecture and technology selection to implementation, optimization, deployment, and production support.

The role requires deep hands-on expertise in modern AWS data engineering technologies, strong architectural skills, and the ability to mentor engineering teams while collaborating with business and technical stakeholders to deliver scalable, secure, and high-performance data solutions.

Must Have Skills:

• 8+ years of experience designing and delivering enterprise-scale Data Lake, Lakehouse, or Data Warehouse solutions on AWS.
• Proven experience leading end-to-end implementation of cloud-native data platforms, including architecture, design, development, deployment, and production support.
• Strong hands-on expertise in SQL (analytical queries, window functions, stored procedures), Spark/PySpark, and Python.
• Strong hands-on experience designing and implementing Lakehouse architectures using Apache Iceberg.
• Strong knowledge of AWS services including EMR, S3, Athena, Glue Catalog, Aurora PostgreSQL, Lambda, CloudWatch, SQS, SNS, EventBridge, IAM, and related AWS data services.
• Experience designing and implementing scalable batch and streaming data pipelines using AWS native services.
• Strong expertise in Spark/PySpark performance tuning and optimization.
• Hands-on experience optimizing Apache Iceberg and Aurora PostgreSQL for performance, scalability, and cost efficiency.
• Strong understanding of data modeling, distributed data processing, partitioning strategies, file formats, and Lakehouse/Data Lake architectures.
• Strong understanding of AWS architecture principles, including security, networking, disaster recovery, scalability, resiliency, and cost optimization.
• Experience designing orchestration workflows using Apache Airflow or AWS Step Functions.
• Ability to define cloud data platform architectures, evaluate technology choices, and articulate architectural trade-offs and best practices.
• Experience leading globally distributed engineering teams, mentoring developers, conducting architecture/code reviews, and driving engineering best practices.
• Excellent communication, stakeholder management, problem-solving, and technical leadership skills with the ability to translate business requirements into scalable technical solutions.
• AWS Solution Architect Associate/Professional or AWS Data Engineer Associate certification is preferred.

Good to Have Skills:

• Experience with ClickHouse, including performance tuning and query optimization.
• Experience with Infrastructure as Code using Terraform or CloudFormation.
• Experience implementing CI/CD pipelines for data engineering workloads.
• Exposure to Kafka, Hive, HDFS, or other Big Data technologies.
• Hands-on experience using GenAI-assisted development tools such as Kiro, GitHub Copilot, Cursor, or similar AI coding assistants to improve engineering productivity.
• Experience integrating with data governance and metadata management tools such as Collibra.
• Experience integrating with data virtualization platforms such as Denodo.
• Telecom/Mobile Network domain knowledge is preferred but not mandatory.

Skills: Digital : Guidewire ClaimCenter~Digital : Guidewire InfoCenter

Experience Required: 10 & Above

PUNE, BANGALORE

Role Descriptions:

Role 2 PolicyCenter Functional ExpertSkill set PolicyCenter Business Analyst experience|

ClaimCenter (preferred)Years of exp 12- 14 yearsCertification ACE Mandatory

Others GWCP experience| Product Modeling APD experience (Must have)| Understands functional solutioning and estimations

Skills: Digital : Guidewire ClaimCenter~Digital : Guidewire InfoCenter

Experience Required: 7-9

PUNE, BANGALORE

Role Descriptions:

Skill set : ClaimCenter development – Config (Mandatory), Integration (preferred)

Years of exp : 7- 9 years

Certification: ACE Mandatory

Others: GWCP experience, upgrade experience (preferred), must have performed lead roles in

the past

Desirable Skills:

Keyword:

Sharepoint Developer with SPFx @ PAN, India

SPFx

Location: Pan India

Exp: 5+

Shift Timings: 11:30AM to 8:00pm

Requested 2 developers should be skilled in,

• SPFx, Azure Functions, Power Automate, SharePoint List.
• E2E software development lifecycle Agile delivery model in multiple sprints.
• Good communication skill to interact daily with customer during implementation phases and follow all formal communication methodologies.

Strong knowledge with min 3 to 4 years in SPFx (Webparts and Extensions development experience)

Job Description – Workday Support Lead (Learning & Talent)

Location: Bangalore

Work Mode: 5 Days Work from Office

Experience: 6–10 Years

Workday Experience: Minimum 3 Years of recent/latest experience

Role Summary

We are seeking an experienced Workday Support Lead to manage and support Workday Core HCM and Workforce Management modules. The ideal candidate will serve as the primary functional expert, ensuring smooth operation, configuration, issue resolution, and continuous enhancement of Workday solutions. This role requires direct stakeholder engagement and close collaboration with business teams and external partners.

Key Responsibilities

• Lead day-to-day support for Workday Core HCM, Benefits, Payroll, Time Tracking, and Absence Management modules.
• Manage incident resolution, troubleshooting, root cause analysis, and service requests.
• Configure and maintain business processes, security roles, reports, calculated fields, and integrations as required.
• Partner with HR, Payroll, Benefits, and Operations stakeholders to understand business requirements and provide effective Workday solutions.
• Support Workday releases, testing activities, regression testing, and deployment of new features.
• Monitor data quality and ensure compliance with organizational policies and procedures.
• Coordinate with implementation partners and vendors for issue resolution and enhancement activities.
• Maintain functional documentation, process guides, and knowledge repositories.
• Drive continuous improvement initiatives across supported Workday modules.

Required Skills

• Strong expertise in:
• Workday Core HCM
• Benefits
• Payroll
• Time Tracking
• Absence Management
• Experience in business process configuration and security administration.
• Strong analytical and troubleshooting skills.
• Familiarity with Workday reporting and calculated fields.
• Experience supporting global HR systems and processes.
• Excellent stakeholder management and communication skills.

Qualifications

• Bachelor's degree in Human Resources, Information Systems, Business, or related field.
• Workday certifications are highly preferred.
• Experience working in GSI, GCC, or enterprise support environments is desirable.

About the Role

You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.

Key Responsibilities

• Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
• Design and optimize data models for AI and machine learning workloads.
• Develop reliable data foundations for MLOps, governance, and data lineage.
• Integrate data from multiple sources into modern data platforms.
• Leverage Snowpark ML and Snowflake's native AI capabilities.
• Ensure data platforms are secure, scalable, and high-performing.

What We're Looking For

• 5+ years of hands-on experience with Snowflake.
• Strong proficiency in SQL and Python.
• Experience with AWS, Azure, or GCP.
• Knowledge of cloud storage services such as S3, ADLS, or GCS.
• Strong understanding of Dimensional Modeling and Data Vault.
• Experience with Scala or Java is a plus.

Tech Stack

• Data Warehouse: Snowflake
• Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
• Cloud: AWS, Azure, GCP
• Storage: S3, ADLS, GCS
• AI/ML: Snowpark ML, MLOps

Perks & Benefits

• Public Speaking & Communication Program
• Mentoring Program with Senior Support Leads
• 360° Progress Reviews
• Weekly Learning Sessions & Guilds
• Paid Certifications
• Hackathons & Innovation Days
• Recognition & Rewards Programs
• Team Socials & Annual Offsites
• Employee Assistance Program (24/7 Wellbeing Support)

The Data People Shaping Tomorrow

Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.

Strong Backend Software Engineer Profile with strong Core Java expertise

2

Mandatory (Experience 1): Must have 2+ years of hands-on backend software engineering experience.

3

Mandatory (Experience 2): Must be able to design and implement moderately complex features with minimal supervision, and contribute to system design and architecture discussions.

4

Mandatory (Experience 3): Must be comfortable owning business-critical production components — maintaining connectors, handling customer escalations, security fixes, bug fixes, and building new features end-to-end.

5

Mandatory (Tech skill 1): Must have strong, current Core Java depth with solid, clear coding fundamentals — Java is the primary skill for this role. Deep hands-on core engineering strength matters more than framework knowledge.

6

Mandatory (Tech skill 2): Must have strong core backend engineering fundamentals and experience with scalable systems (connectors handle millions of events/data points daily across customers).

7

Mandatory (Tech skill 3): Must have microservices experience.

8

Mandatory (AI Fluency 1): Must have demonstrated, hands-on use of AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) as a core part of the daily workflow — scaffolding, writing tests, reviewing code, and debugging.

9

Mandatory (AI Fluency 2): Must be able to write precise, effective prompts for production-quality output, decompose tasks so AI assistance is effective, and critically evaluate AI-generated code for correctness, security, and standards before merging.

10

Mandatory (Company): Must come from a product company background (B2B SaaS or B2C both acceptable).

11

Mandatory (Note1): This is a 3-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

12

Mandatory (Note 2): Must be based in or near Chennai, Bangalore, or Ahmedabad (Chennai: hybrid, Tue & Thu in office)

13

Preferred (Backend): Hands-on Python experience is a plus.

14

Preferred (Database): Hands-on database / JDBC integration experience in a production environment.

We are looking for a passionate and skilled backend developer with strong expertise in .NET Core to join our engineering team at LeadSquared. This role is ideal for someone who thrives in building scalable, high performance services and is open to transitioning into Java-based technologies in the future. You will be responsible for designing and developing robust backend systems, APIs, and services that power our platform. A strong sense of ownership, attention to detail, and a commitment to writing clean, maintainable code are essential qualities we look for.

KEY RESPONSIBILITIES

▪️ Design, develop, and maintain scalable backend services using .NET Core.

▪️ Build and optimize RESTful APIs and microservices.

▪️ Collaborate with cross-functional teams to define, design, and ship new features. ▪️ Write clean, efficient, and testable code with a focus on long-term maintainability.

▪️ Optimize database queries and ensure high performance for data-intensive operations.

▪️ Implement caching and messaging solutions for performance and reliability. ▪️ Participate in code reviews and contribute to engineering best practices.

REQUIRED SKILLS & QUALIFICATIONS

▪️ 3–5 years of hands-on experience in backend development with .NET Core.

▪️ Strong programming skills in C#.

▪️ Experience with ASP.NET Core MVC, Web API, and WCF.

▪️ Solid understanding of multi-threading, asynchronous programming, and concurrency.

▪️ Experience with MySQL, SQL Server, or equivalent relational databases.

▪️ Strong expertise in SQL programming and query optimization for large datasets.

▪️ Familiarity with caching solutions such as Redis.

▪️ Experience with message brokers such as RabbitMQ, Kafka, or AWS SQS.

▪️ Hands-on experience with cloud platforms — preferably AWS, or Azure/GCP.

▪️ Exposure to analytics, observability, monitoring, and performance tuning.

▪️ Strong foundation in software design principles and logical thinking. Good to Have

▪️ Familiarity with containerization tools — Docker and Kubernetes.

▪️ Understanding of CI/CD pipelines and DevOps practices.

About the Role

LeadSquared is looking for a Backend Heavy Engineer with strong expertise in Java backend development and hands-on experience working with chatbots / conversational systems.

The ideal candidate should have a strong foundation in backend engineering, distributed systems and API development, along with exposure to building or integrating chatbot, conversational AI or messaging-based solutions.

Key Responsibilities

• Design, develop and maintain scalable backend services and APIs using Java.
• Build high-performance, reliable and secure microservices-based applications.
• Develop and integrate chatbot / conversational platforms with backend systems.
• Work on chatbot workflows, conversation flows, APIs, integrations and business logic.
• Integrate backend services with LLM/AI-powered conversational systems, where required.
• Build RESTful APIs and integrations with internal and third-party platforms.
• Work with databases, caching, queues and distributed systems to support scalable applications.
• Troubleshoot performance, reliability and production issues.
• Collaborate with Product, AI/ML, Frontend and Engineering teams to deliver end-to-end solutions.
• Participate in architecture discussions, code reviews and technical design.
• Write clean, maintainable and well-tested production-grade code.

Must-Have Skills

• 4–6 years of strong backend development experience.
• Strong hands-on experience with Java, Spring Boot and REST APIs.
• Good understanding of Microservices architecture.
• Experience with SQL databases such as MySQL/PostgreSQL.
• Good understanding of data structures, algorithms and object-oriented programming.
• Hands-on experience with chatbots, conversational applications, chatbot frameworks or messaging platforms.
• Experience integrating chatbot systems with backend APIs/services.
• Understanding of asynchronous processing, queues and event-driven architecture.
• Good understanding of Git, CI/CD and production deployment practices.

Good to Have

• Experience with Generative AI / LLM-based chatbots.
• Exposure to RAG, embeddings, prompt engineering or LLM APIs.
• Experience with Kafka, Redis, Elasticsearch or similar technologies.
• Cloud experience with AWS/Azure/GCP.
• Experience with Docker/Kubernetes.
• Experience building customer-facing SaaS products.
• Exposure to CRM, MarTech, SalesTech or enterprise platforms.

Ideal Candidate

We are looking for someone who is backend-first and Java-heavy, but has also worked on chatbot/conversational use cases. The candidate should be comfortable owning backend services end-to-end and collaborating with AI/ML teams to build scalable conversational experiences.

Ideal profile:

Java + Spring Boot + Microservices + Strong Backend Engineering + Chatbot/Conversational AI Experience.

About the Role

LeadSquared is looking for a Senior AI/ML Engineer who brings a strong combination of traditional Machine Learning expertise and hands-on experience building Agentic AI systems.

The ideal candidate will be responsible for designing, developing, and deploying intelligent AI/ML solutions that power LeadSquared's products, while also building the next generation of LLM-powered agents, AI workflows, and autonomous decision-making systems.

This role requires someone who can go beyond experimentation and take AI solutions from problem definition → model development → production deployment → monitoring and continuous improvement.

Key Responsibilities

• Design, develop and deploy ML models for real-world business and product use cases.
• Work on LLMs, Generative AI and Agentic AI applications.
• Build AI agents capable of reasoning, planning, tool calling and multi-step task execution.
• Develop RAG pipelines, embeddings, vector search and knowledge-based AI systems.
• Design agent workflows involving function/tool calling, memory, context management and orchestration.
• Build and evaluate multi-agent systems where applicable.
• Apply traditional ML techniques including classification, regression, ranking, recommendation, NLP and predictive modelling.
• Fine-tune and optimize LLMs/models for specific business use cases.
• Develop robust evaluation frameworks for LLM and agent performance, accuracy, hallucination, latency and cost.
• Productionize AI/ML models and integrate them with scalable product architectures.
• Work closely with Product, Engineering, Data Science and Business teams to identify and solve high-impact problems.
• Optimize AI systems for performance, scalability, reliability and cost efficiency.
• Establish best practices around MLOps, model monitoring, experimentation and continuous improvement.

Must-Have Skills

• Strong programming experience in Python.
• Strong fundamentals in Machine Learning, Deep Learning, NLP and Statistics.
• Hands-on experience with LLMs and Generative AI.
• Strong understanding of RAG, embeddings, vector databases and semantic search.
• Experience with Agentic AI / AI Agents, including tool calling and workflow orchestration.
• Experience with frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI or equivalent.
• Experience working with models/APIs such as OpenAI, Anthropic, Gemini, Llama or equivalent.
• Experience with PyTorch/TensorFlow and ML libraries such as Scikit-learn.
• Good understanding of REST APIs, microservices and cloud platforms.
• Experience taking AI/ML solutions into production environments.

Good to Have

• Experience building multi-agent architectures.
• Experience with AI evaluation, observability and guardrails.
• Experience with fine-tuning, LoRA/PEFT or model optimization.
• Knowledge of MLOps/LLMOps.
• Experience with AWS/Azure/GCP.
• Experience with Kafka, Redis, Docker/Kubernetes or similar technologies.
• Experience in SaaS, CRM, MarTech, SalesTech or enterprise applications.

What We Are Looking For

We are looking for a builder, not someone who has worked only on AI POCs or research projects. The candidate should demonstrate the ability to combine strong ML fundamentals with modern Agentic AI capabilities and build reliable, production-grade AI solutions.

Ideal profile:

Traditional ML + GenAI/LLM + Agentic AI + Production Engineering + Strong Product Mindset.

Full-Stack Engineer (Backend Heavy)

Experience: 4–6 Years | Function: Engineering — Product | Location: On-site

About Us

We’re building the next generation of AI-powered business software, and we’re looking for people who want to shape that future with us. With Lumen, we’re reimagining how users interact with CRM — moving beyond screens, menus and dashboards to an intelligent interface where users can simply ask AI to take actions, retrieve knowledge, generate insights and get work done. With Agent Studio, we’re enabling businesses to build, test and deploy their own AI agents for real-world workflows. And with Invorto, we’re bringing AI to voice, allowing businesses to create intelligent voice agents tailored to their customer and operational use cases.

What makes this especially exciting is the stage and scale of the opportunity. You’ll get to work on genuinely hard problems across LLMs, agents, reasoning, orchestration, voice AI, evaluation, reliability and enterprise security — not as isolated experiments, but as products used in real business workflows. You’ll have the opportunity to build zero-to-one, own meaningful parts of the product end-to-end, work closely with customers, experiment rapidly, and see your work reach production at scale.

Why join now? Because the playbook for enterprise AI is still being written. You won’t just be implementing someone else’s roadmap — you’ll help define the product, architecture and experiences that become that playbook. Expect high ownership, fast iteration, hard technical and product problems, direct customer impact, and the chance to build AI systems that have to work reliably in the real world — not just in a demo.

About the Role

We are looking for a Full-Stack Engineer with a strong backend bias to help build end-to-end product experiences across Lumen and Agent Studio. You will own features from database and API design through to the front-end experience, working closely with product and design to ship AI-powered experiences that real business users depend on every day.

What You’ll Do

Design and build backend services and APIs in Python that power core product and AI-agent features.

Build front-end interfaces and experiences that let users interact naturally with AI agents, insights and CRM workflows.

Own features end-to-end — from data modeling and backend logic to UI implementation, testing and release.

Work with product managers and designers to translate requirements into well-architected, scalable systems.

Integrate with LLM-based and agentic backend systems built by the AI/ML engineering team.

Optimize application performance, reliability and code quality across the stack.

Engage directly with customers and customer success teams to understand workflows, triage issues and inform roadmap decisions.

What We’re Looking For

4–6 years of professional full-stack engineering experience, with a clear backend-heavy skill set in Python.

Strong experience designing and building REST/GraphQL APIs, data models and scalable backend services.

Working proficiency with modern front-end frameworks (e.g., React) to build and integrate user-facing features.

Experience with relational/NoSQL databases, caching and cloud infrastructure.

Ability to move fast in a zero-to-one environment while maintaining code quality and system reliability.

Strong communication skills — this is a customer-facing role, and you will be expected to clearly articulate technical concepts, decisions and trade-offs to both technical and non-technical stakeholders, including customers.

Good to Have

Experience building features on top of LLM or AI-agent backends.

Prior experience in CRM, SaaS or enterprise business applications.

Exposure to real-time or voice-based product interfaces.

About the client

They are reimagining video security for the modern world. Their cloud-native platform uses computer vision and AI to help businesses stay safe, make smarter decisions, and move faster—from real-time alerts to seamless clip sharing and multi-site visibility.

You’ll be joining an ambitious, fast-moving team that values clarity, craftsmanship, and impact. Every person here has a voice, ships meaningful work, and helps shape how AI can make the world safer and more connected.

About the Role

We are looking for an Engineering Manager to lead the Core Engineering team in India, working on the systems that power our edge-computing platform.

The team works on technically challenging problems across C++, edge computing, high-concurrency systems, low-latency processing, memory management, and machine-learning workloads running on compute-constrained devices.

This is a hands-on engineering leadership role. You will lead and grow a high-performing team while staying close to architecture, system design, technical decision-making, and critical engineering problems.

As the team scales, you will play a key role in building the engineering organization, raising technical standards, mentoring engineers and managers, and partnering closely with leadership on product and technical strategy.

Responsibilities

Technical Leadership

• Lead the architecture and development of core systems powering our edge-computing platform.
• Drive technical decisions across C++, distributed systems, low-latency and high-concurrency architectures, and resource-constrained environments.
• Review and guide critical architectural and implementation decisions while maintaining strong technical depth.
• Solve complex problems around memory management, performance, reliability, concurrency, and system scalability.
• Work closely with engineers on designing and building production-grade systems running across a fleet of deployed edge devices.
• Guide the deployment and optimization of machine-learning workloads on edge infrastructure.
• Establish strong engineering practices around observability, telemetry, reliability, and performance.

Engineering & People Leadership

• Lead, mentor, and grow a high-performing core engineering team.
• Hire and build the India engineering team as the organization scales.
• Set clear technical and execution standards and create a culture of ownership and accountability.
• Conduct performance reviews, provide regular feedback, and support career development.
• Participate in hiring decisions and build a strong engineering talent pipeline.
• Identify and address performance gaps when required.
• Develop engineers into technical and people leaders as the organization grows.
• Partner with other engineering teams and leadership to align technical execution with company and product goals.

Strategy & Execution

• Own execution for key areas of the core engineering organization and ensure teams deliver reliably against business priorities.
• Participate in product and engineering decision-making, balancing technical quality, speed, reliability, and business impact.
• Work closely with the Head of Engineering and company leadership on technical roadmap and organizational planning.
• Help establish the engineering processes, systems, and team structure required to scale the organization.

Skills & Qualifications

• A Bachelor's or Master's degree in Computer Science
• Around 9+ years of software engineering experience, with meaningful experience leading engineering teams.
• At least 1+ year of engineering management experience, including ownership of people management and performance processes.
• Strong hands-on engineering background in C++ and a deep understanding of systems programming.
• Strong understanding of memory management, concurrency, and performance optimization.
• Experience designing and operating low-latency and high-concurrency systems.
• Experience working with resource-constrained, distributed, edge, IoT, hardware-integrated, or similarly challenging systems.
• Strong understanding of software architecture, distributed systems, and scalable production systems.
• Ability to remain technically hands-on and engage deeply with architecture, code, and complex engineering problems.
• Experience hiring, mentoring, managing performance, and developing engineers.
• Strong communication and collaboration skills, with the ability to influence technical and organizational decisions.
• Comfortable working in a fast-paced, high-ownership startup environment.

Good to Have

• Experience with edge computing or IoT platforms and managing fleets of deployed devices.
• Experience with GPU-based workloads or machine-learning inference at the edge.
• Experience with video processing and streaming, including technologies such as GStreamer.
• Experience with PyTorch or other ML frameworks and integrating ML models into production systems.
• Experience with infrastructure management and automation tools such as Salt.
• Experience with monitoring and observability platforms such as Grafana.
• Experience working with multiple programming languages such as Python, Java, or Shell.

Work Location

Bangalore – HSR Layout

This is a 5-day work-from-office role. We operate with a high level of ownership and flexibility rather than fixed login/logout hours.

What We Offer

• Flexible paid time off and paid holidays
• Early-stage equity in a rapidly growing company
• Referral bonuses
• Regular team off-sites
• Latest Apple products and access to a modern technology stack, including Claude Cowork, Perplexity Computer, Nooks, Clay, Instantly, and more

Why Join Us

We’re on a mission to transform a $50B+ legacy industry by bringing the power of cutting-edge multimodal LLMs and computer vision to real-world security and operations.

From firearm detection to intelligent access control, our AI-native platform turns every camera and sensor into a smart system that enhances safety, efficiency, and awareness.

Founded by ex-Lyft engineers, the company is backed by Ansa Capital, Battery Ventures, Mosaic, 8VC, and Up Partners. The company has raised over $65M and was named to the CB Insights AI 100 as one of the most promising AI companies in the world.

If you're excited about leading a technically exceptional team building mission-critical AI and edge systems that have real-world impact, we'd love to meet you.

We need a senior, hands-on Ansible + Python automation expert to define automation standards, build scalable solutions, and act as the final technical authority for code quality and design. This is not just a developer role — it combines technical leadership, governance & standards ownership, and hands-on development.

We are looking for someone who has:

• Led or owned automation standards / frameworks
• Strong Ansible + Python development experience
• Experience reviewing/approving code or design
• Hands-on experience with CI/CD pipelines (GitHub Actions or similar)

We will not consider profiles with:

• Only scripting experience (no architectural/guidance role)
• No experience with Ansible at scale
• No exposure to code reviews / governance / standards
• Pure operations profiles without development depth

Ideal candidate positioning: Senior Automation Architect / Lead DevOps Engineer / Ansible Lead Developer

Interview mode: Face-to-Face only (mandatory)

Reporting: Day 1 reporting post offer, industrial sector site

Job Description:

We are seeking a motivated and experienced Store Manager to oversee daily operations at our retail locations. The Store Manager will be responsible for ensuring the store operates efficiently, meeting sales targets, delivering exceptional customer service, and managing staff.

Key Responsibilities:

• Oversee daily store operations, ensuring everything runs smoothly and efficiently.

• Manage and lead a team of sales associates, setting goals and providing coaching to ensure targets are met.

• Maintain high standards of customer service, addressing customer concerns and feedback.

• Monitor inventory levels, order stock, and manage product displays.

• Analyze sales data and prepare reports for senior management.

• Implement promotional activities and sales strategies to drive revenue.

• Ensure compliance with all company policies, health and safety regulations, and local laws.

• Conduct regular store audits and ensure the store's appearance is up to company standards.

• Handle store budgets, payroll, and scheduling efficiently.

Requirements:

• Bachelor's degree in Business Administration, Retail Management, or a related field.

• Proven experience as a Store Manager or in a similar retail management role.

• Strong leadership and interpersonal skills.

• Excellent communication and organizational abilities.

• Ability to manage multiple tasks simultaneously and work under pressure.

• Proficiency in MS Office and retail management software.

• Flexibility to work in different shifts, including weekends.

Preferred Qualifications:

• Experience in retail sales or customer service.

• Knowledge of visual merchandising techniques.

• Ability to motivate a team and drive sales performance.

As a Senior Data Engineer, you will be responsible for designing, developing, and optimizing scalable cloud-native data platforms on AWS. You will build high-performance batch and analytical data pipelines using DBT (Cloud + Core), AWS Glue, SMUS, Redshift, Python, MWAA, APIs, and other AWS services while ensuring reliability, scalability, and operational excellence.

The role requires strong expertise in data engineering, SQL optimization, distributed data processing, and cloud-native architectures.

Must Have Primary Skills

Data Engineering

• 3+ years of hands-on experience building large-scale AWS Data Engineering solutions.
• Strong experience designing scalable batch and streaming data pipelines on AWS.
• Experience implementing monitoring, logging, alerting, and observability for production data pipelines.
• Strong understanding of data quality, troubleshooting, debugging, and production support.

DBT & Data Warehousing

• Strong hands-on experience with DBT (Cloud + Core) (Highly Recommended).
• Hands-on expertise with Amazon Redshift for Data Warehousing and Analytics.

Programming & Querying

• Strong expertise in:
• SQL (Analytical Queries, Window Functions, Stored Procedures)
• Python
• Spark / PySpark
• Strong experience in Spark/PySpark performance tuning and optimization.

Lakehouse & Apache Iceberg

• Hands-on experience designing and implementing Lakehouse solutions using Apache Iceberg.
• Experience optimizing Apache Iceberg and Amazon Aurora PostgreSQL for performance and scalability.
• Strong understanding of:
• Data Modeling
• Partitioning
• File Formats
• Lakehouse / Data Lake Architectures

AWS Cloud Services

Hands-on experience with AWS services including:

• AWS Glue
• Amazon MWAA
• Amazon EMR
• Amazon Redshift
• Amazon S3
• Amazon Athena
• AWS Glue Catalog
• Amazon Aurora PostgreSQL
• AWS Lambda
• Amazon EC2
• Amazon DynamoDB
• Amazon API Gateway
• Amazon CloudWatch
• Amazon SQS
• Amazon SNS
• Amazon EventBridge
• AWS Secrets Manager
• AWS IAM

Development Practices

• Experience with CI/CD.
• Strong knowledge of Git.
• Familiarity with Data Engineering best practices.

Soft Skills

• Strong communication skills.
• Excellent problem-solving ability.
• Stakeholder management experience.

Preferred Certification

• AWS Data Engineer Associate or equivalent AWS Certification.

Good to Have Skills

• AWS Step Functions
• Terraform / Infrastructure as Code (IaC)
• Kafka
• Hive
• HDFS
• Other Big Data technologies
• Experience using GenAI-assisted development tools such as:
• GitHub Copilot
• Cursor
• Kiro
• Similar AI coding assistants
• ClickHouse Database
• Telecom / Mobile Network domain knowledge
• AtScale design and development
• Docker
• Kubernetes 

Content Team Lead | 2- 4 Years Experience

We are looking for a strategic and results-driven Content Team Lead to lead content strategy, SEO, and organic growth. The ideal candidate will bring strong content expertise, analytical thinking, and team leadership to build high-impact content initiatives that drive visibility, engagement, and business growth.

Key Responsibilities

• Develop and execute content marketing & SEO strategies.
• Plan and manage the content calendar.
• Create and optimize blogs, landing pages, product pages, case studies, and marketing content.
• Conduct keyword research, content audits, and competitor analysis.
• Improve organic traffic, keyword rankings, and lead generation.
• Collaborate with Product, Design, Development, and Marketing teams.
• Lead, mentor, and review the Content team.
• Track content performance using analytics and optimize campaigns.

Required Skills

• Content Marketing Strategy
• SEO & Keyword Research
• Content Planning & Editorial Management
• Copywriting & Content Editing
• Product & Technical Content Writing
• Brand Storytelling
• Marketing Analytics
• Team Leadership
• Project & Stakeholder Management

Tools

• Google Analytics
• Google Search Console
• Google Tag Manager
• SEMrush
• WordPress / CMS
• AI Writing Tools
• Jira / Trello / Asana / ClickUp
• Microsoft Office / Google Workspace

Perks and Benefits

• Paid Annual Leaves
• PF & Health Insurance
• Team Lunches
• Long New Year Vacation
• Learning & Career Growth

Additional Details:

• Job Title: Content Team Lead
• CTC: Up to 7.5 LPA
• Location: JP Nagar, Bengaluru
• Job Type: Full Time (Onsite)
• Working Days: 6 Days
• Experience: 3 - 5 Years
• Notice Period: Immediate to 7 days

This role is focused on Cyber Security Risk, Governance, Risk & Compliance (GRC), IT Controls, and Security Audits, with strong emphasis on Backup, Disaster Recovery (DR), and Business Continuity (BCP).

Key responsibilities:

• Perform security control assessments against organizational policies, security standards, and regulatory requirements.
• Identify control gaps, risks, audit findings, and compliance issues, and monitor remediation until closure.
• Assess Backup, Disaster Recovery, and Business Continuity processes and controls.
• Validate backup availability, restoration/recovery procedures, DR readiness, and evidence of periodic DR/BCP testing.
• Conduct control testing and risk assessments and support internal/external security audits.
• Review security policies, procedures, standards, and governance frameworks for compliance.
• Maintain audit evidence, track findings, and coordinate with stakeholders for remediation.
• Support overall security governance, regulatory compliance, and IT risk management activities.

Required Skills

• Cyber Security Risk & Compliance / GRC
• IT Risk & Controls
• Security Control Assessment & Testing
• Security Audits
• Backup & Disaster Recovery
• BCP / DR
• Risk Assessment
• Compliance & Governance
• Security Policies & Standards
• Audit Finding & Remediation Management

About the Role

We are looking for a Full Stack AI Engineer who can take an ambiguous problem and turn it into a complete, production-ready AI product.

This is a builder role.

You will work across the entire stack — AI models, agents, backend services, APIs, databases, data pipelines, frontend applications, infrastructure, and production deployment. You should be comfortable deciding what needs to be built, writing the code, deploying it, measuring whether it works, and continuously improving it.

We are not looking for someone who only builds notebooks, trains models, writes prompts, or creates architecture diagrams for another team to implement. We want engineers who ship complete products.

A typical project might involve designing an agentic workflow, building a retrieval pipeline, writing Python APIs, creating a React interface, integrating enterprise data, deploying to Kubernetes, implementing evaluations, and debugging the application in production.

The distance between an idea and working software should be measured in weeks, not quarters.

This role is based in Hyderabad and is 6 days per week in the office.

We are looking for:

1. A person that can smoothly navigate extreme ambiguity
2. Full stack software builder
3. AI depth, must have built a production AI system
4. Excellent top-notch communication and stakeholder management
5. Prioritizes growth over work-life balance

What You'll Do

Build AI Products End-to-End

• Own AI applications from problem definition through architecture, development, deployment, and production operation.
• Translate ambiguous product and business requirements into working software.
• Build across AI/ML, backend services, APIs, databases, frontend interfaces, data pipelines, authentication, infrastructure, and observability.
• Rapidly prototype, test with real users and data, and turn successful ideas into production-grade systems.
• Make pragmatic engineering decisions based on speed, reliability, simplicity, maintainability, and user value.

AI, LLMs & Agents

• Build production applications using commercial and open-source foundation models.
• Design RAG systems, agentic workflows, tool/function calling, structured outputs, memory, human-in-the-loop workflows, and multi-agent systems where appropriate.
• Work with frameworks such as LangGraph, LangChain, Semantic Kernel, LlamaIndex, or equivalent tools.
• Build retrieval systems using embeddings, vector search, BM25, hybrid retrieval, reranking, metadata filtering, and knowledge graphs.
• Design prompt and context engineering strategies for complex workflows.
• Evaluate model choices based on accuracy, latency, reliability, security, and cost.
• Build automated evaluations and regression tests for AI behavior.
• Fine-tune or adapt models when prompting and retrieval are insufficient.

Backend, Frontend & Data

• Build production backend systems primarily in Python using FastAPI, Flask, Django, or similar frameworks.
• Design APIs, asynchronous workflows, background jobs, queues, caching layers, and event-driven systems.
• Work with PostgreSQL, SQL Server, MongoDB, Redis, Snowflake, and other production data stores.
• Build modern applications using React, Next.js, TypeScript, JavaScript, or equivalent frameworks.
• Create interfaces for copilots, conversational AI, workflow automation, analytics, review queues, and operational applications.
• Implement streaming responses, real-time updates, authentication, permissions, and API integrations.
• Build ingestion and transformation pipelines for structured and unstructured enterprise data.
• Work with documents, databases, APIs, event streams, images, logs, and operational datasets.
• Maintain provenance, permissions, metadata, and traceability across enterprise information.

ML & Computer Vision

• Use classical ML or deep learning when it is better suited to the problem than an LLM.
• Build systems involving classification, forecasting, anomaly detection, ranking, recommendations, optimization, or prediction.
• Build computer-vision applications involving detection, classification, segmentation, OCR, tracking, or image/video analysis.
• Work with PyTorch, TensorFlow, Hugging Face, OpenCV, or equivalent tools.
• Understand model development, evaluation, inference, and productionization.

Deploy & Operate What You Build

• Deploy applications across AWS, Azure, GCP, on-premises, hybrid, or edge environments.
• Containerize and operate applications using Docker and Kubernetes.
• Build CI/CD pipelines, automated testing, monitoring, and observability.
• Own reliability, latency, availability, security, evaluation, cost, and scalability.
• Debug failures across application code, AI models, data, infrastructure, and integrations.
• Build retries, fallbacks, rollback mechanisms, and human intervention into critical systems.

Integrate With Enterprise Systems

• Connect AI applications to enterprise platforms, databases, APIs, and operational systems.
• Integrate with systems such as ERP, MES, PLM, CRM, data warehouses, IoT platforms, document repositories, and legacy applications.
• Work within enterprise networking, security, and data-governance constraints.
• Implement authentication, authorization, secrets management, auditability, permissions, and data isolation.
• Build AI systems capable of safely operating on sensitive enterprise data.

What You Bring

• 5+ years of software engineering experience, with meaningful experience building AI/ML-powered products. Exceptional candidates with less experience but strong demonstrated ability will be considered.
• Strong hands-on programming ability in Python.
• Experience building complete production applications rather than isolated models, notebooks, or proofs of concept.
• Strong backend fundamentals including APIs, databases, distributed systems, and application architecture.
• Experience with React, Next.js, TypeScript, JavaScript, or equivalent frontend technologies.
• Strong understanding of LLMs, RAG, agents, tool calling, embeddings, vector search, prompt/context engineering, AI evaluation, and ML fundamentals.
• Experience with SQL and production databases.
• Experience with at least one major cloud platform: AWS, Azure, or GCP.
• Experience with Docker, Kubernetes, or equivalent production infrastructure.
• Understanding of production AI concerns including reliability, latency, security, observability, evaluation, and cost.
• Strong debugging skills across the full stack.
• Ability to independently turn loosely defined requirements into working software.
• Strong product judgment, high agency, technical curiosity, and a bias toward shipping.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent demonstrated experience.

Preferred / Top-Candidate Signals

• You've independently shipped an AI application from database → backend → AI → frontend → production.
• You've built production RAG or agentic systems, not just demos.
• You've used LangGraph, LangChain, Semantic Kernel, LlamaIndex, or similar frameworks.
• You understand when not to use an LLM or agent.
• You've worked with hybrid retrieval, reranking, vector search, or knowledge graphs.
• You've built with both commercial and open-source models.
• You've deployed ML or computer-vision systems into production.
• You have experience with React/Next.js + Python/FastAPI or a comparable modern stack.
• You have experience with Kubernetes, cloud infrastructure, and production observability.
• You have integrated software with complex enterprise or industrial systems.
• Experience in manufacturing, industrial, supply chain, logistics, engineering, energy, aerospace, automotive, or other physical-world environments is a strong plus.
• You've built meaningful side projects, open-source software, startups, or substantial systems outside your assigned responsibilities.
• You have a history of turning vague ideas into shipped products.

What Makes Someone Exceptional

The strongest engineers in this role combine three abilities:

AI Engineering — Choose the right model, retrieval approach, agent architecture, evaluation method, or ML technique.

Software Engineering — Build everything around the intelligence: frontend, backend, data, APIs, infrastructure, security, integrations, and deployment.

Product Judgment — Understand what actually needs to be built and rapidly turn it into something users can use.

A typical week might involve designing an agent workflow, writing FastAPI services, building a React interface, creating a retrieval pipeline, connecting enterprise data, deploying to Kubernetes, implementing evaluations, and debugging real-world behavior.

You should not need five different teams to turn an idea into a working product. You should be able to build.

Why This Role

• Build entire products, not isolated models or prototypes.
• Own the full stack: AI, backend, frontend, data, infrastructure, and deployment.
• Ship quickly: move from idea to working software in weeks.
• Work across modern AI: LLMs, agents, RAG, ML, computer vision, optimization, and enterprise data.
• Solve real-world problems: build software used in complex operational environments.
• See your work in production: own the path from first commit to real users.
• Compensation is flexible for exceptional candidates. 

About POSSPOLE Catalyst

POSSPOLE Catalyst is a talent and education initiative focused on helping students and young professionals build industry-relevant skills and career opportunities through structured learning, mentorship, and industry exposure.

Role Overview

We are looking for a Telesales Executive who will be responsible for connecting with prospective students, parents, and other leads, understanding their requirements, explaining relevant Catalyst programs, conducting regular follow-ups, and converting qualified prospects into enrollments.

The ideal candidate should be confident on calls, persuasive, target-oriented, and comfortable handling high-volume conversations and follow-ups.

Key Responsibilities

• Make outbound calls to prospective students, parents, and leads generated through various channels.
• Understand the prospect's educational background, career goals, and requirements.
• Explain POSSPOLE Catalyst programs, benefits, structure, and career opportunities clearly.
• Handle questions and objections and provide appropriate information to prospects.
• Conduct consistent follow-ups through calls, WhatsApp, and other official communication channels.
• Maintain accurate records of leads, conversations, follow-ups, and conversions in the CRM/tracker.
• Qualify leads based on their interest, eligibility, and requirements.
• Work towards achieving daily, weekly, and monthly sales/conversion targets.
• Coordinate with the Business Development and Operations teams for successful enrollment and onboarding.
• Maintain professional relationships with prospects throughout the sales cycle.
• Provide regular updates to the reporting manager on lead status, conversions, and challenges.
• Continuously improve calling, counselling, objection-handling, and conversion techniques.

Requirements

• 0–2 years of experience in telesales, inside sales, telecalling, counselling, or business development.
• Freshers with strong communication and sales aptitude are welcome.
• Excellent verbal communication and interpersonal skills.
• Good persuasion, negotiation, and objection-handling abilities.
• Comfortable making a high volume of outbound calls.
• Target-oriented and motivated by achieving results.
• Basic proficiency in MS Excel/Google Sheets and CRM tools.
• Ability to work independently as well as collaboratively with a team.
• Candidates who can join immediately or at short notice will be preferred.

Key Performance Indicators (KPIs)

• Number of calls and meaningful conversations
• Lead qualification rate
• Follow-up completion
• Conversion/enrollment rate
• Monthly revenue generated
• Target achievement
• CRM/data accuracy
• Lead response and follow-up time

What We Offer

• Opportunity to work in a fast-growing innovation and education ecosystem.
• Exposure to sales, business development, education, and talent development.
• Performance-driven growth opportunities.
• Hands-on experience working with students, parents, institutions, and industry stakeholders.

Reporting To: Business Development / Sales Manager

Interested candidates can apply with their updated resume.

Key Deliverables:

● We're looking for a Partner Relations ● This role involves building and strengthening our connections with investors to guarantee their contentment and active engagement. ● Act as the go-to contact for any investor-related questions or correspondence. ● Maintain robust relationships with our current investors, ensuring they're well-informed about how their investments are performing through regular updates and reports. ● Formulate and execute customer acquisition and retention strategies. ● Organise and manage investor events, meetings, and presentations, whether online or face-to-face, to conduct investment awareness programs. ● Work closely with other departments, such as finance, legal, and management. ● Keep a pulse on market trends, competitor moves, industry norms and regulatory updates.

Key Competencies and skills:

● Good understanding of Finance and Financial Products ● Outstanding ability to interact and communicate with others. ● Willing to work flexible hours, focusing on customers' needs. ● Dedication to continually learn and adapt in a rapidly changing investment scene. ● Excellent skills in both writing and speaking, capable of explaining complex financial topics simply and directly. ● Excellent at building relationships and interacting with people, always putting the customer first in managing investor relations. ● Capable of juggling multiple tasks and setting priorities in a busy setting. ● Attention to detail and has a keen ability to analyse and solve problems. 

Job Summary:

The role will be responsible for maintaining and enhancing long-term relationships with property owners, tenants, and corporate clients. The role involves ensuring customer satisfaction, handling service requests efficiently, coordinating with internal departments, and driving retention and referral growth for the Property Management business.

Key Responsibilities: 

Customer Relationship & Communication

• Act as the primary point of contact for property owners and tenants.
• Handle all customer queries, feedback, and complaints with prompt and professional responses.
• Maintain regular communication with clients to update on property status, maintenance activities, and tenancy details.
• Build strong relationships through personalized engagement and proactive service.

Service Coordination

• Liaise with internal teams (maintenance, renting, finance, and legal) to ensure smooth service delivery.
• Ensure timely resolution of service tickets and customer issues.
• Coordinate tenant move-ins, move-outs, and periodic property inspections.
• Follow up on maintenance and repair works and communicate updates to clients.

Data & CRM Management

• Maintain updated records of customer interactions, service requests, and resolutions in the CRM system.
• Track customer satisfaction levels and suggest improvements in service delivery.
• Prepare and share periodic reports on customer engagement, feedback trends, and retention metrics.

Retention & Growth

• Support initiatives for customer retention, renewals, and referral generation.
• Contribute to the development of client loyalty programs in paying rent on time from client.

Operational Support

• Assist in on boarding new property owners and ensuring documentation compliance.
• Work with the finance team to manage invoicing, payment follow-ups, and related customer communication.

Telecalling & Customer Support

• Make outbound sales and follow-up calls.
• Answer inbound customer inquiries promptly.
• Resolve customer complaints efficiently.
• Explain product or service features clearly.
• Achieve daily and monthly call targets.

Key Skills & Competencies:

• Excellent communication and interpersonal skills
• Customer-centric mindset with problem-solving attitude
• Ability to multitask and manage multiple client accounts
• Proficiency in MS Office & maintaining Google docs.
• Basic understanding of property management processes
• Strong coordination and follow-up skills
• Attention to detail and professionalism

Qualification & Experience:

• Any Graduate
• 1–3 years of experience in customer relationship management, preferably in property management, real estate, Hospitality management or facility management sectors. Mandatory experience in Telecalling.

About Comprinno

Comprinno is a NASSCOM-incubated company headquartered in Bangalore, with offices in Pune, Coimbatore, and the United States. We specialize in cloud transformation, DevOps, infrastructure automation, managed services, Data Analytics, and Artificial Intelligence, enabling organizations to build scalable, secure, and high-performing cloud environments on AWS.

Our flagship SaaS platform, Tevico, offers intelligent cloud governance and observability for AWS workloads. It helps enterprises improve uptime, reduce costs, and ensure compliance by proactively detecting anomalies and triggering automated remediation workflows.

As one of the leading AWS consulting partners in the APJ region, Comprinno helps startups and enterprises accelerate growth through cloud migration, modernization, security, managed services, and GenAI-driven innovation.

About the Role

We are looking for a high-energy, entrepreneurial, and consultative Account Executive – Startups & Digital Native Business to drive growth within India's startup ecosystem.

This role is ideal for someone who understands startup buying behavior, thrives in fast-moving environments, and can engage founders, CTOs, engineering leaders, and product teams in meaningful business conversations.

You will own the complete sales cycle—from opportunity qualification to deal closure—while positioning Comprinno's Cloud, DevOps, Managed Services, Data Analytics, and AI offerings to help startups scale efficiently.

The ideal candidate combines strong business acumen, consultative selling skills, startup ecosystem awareness, and a passion for technology-led transformation.

Key Responsibilities

Own the Startup Sales Motion End-to-End

• Own the complete sales cycle:
• Discovery
• Qualification
• Solutioning
• Proposal Development
• Commercial Negotiation
• Deal Closure
• Manage opportunities sourced through:
• Marketing-generated leads
• Inbound inquiries
• Outbound prospecting
• AWS referrals
• Startup ecosystem partnerships
• Consistently achieve quarterly and annual revenue targets.
• Maintain accurate pipeline visibility and forecasting within CRM systems.

Consultative Cloud & AI Selling

• Engage founders, CTOs, VP Engineering, Product Leaders, and technology decision-makers.
• Understand customer business objectives, growth challenges, and technology priorities.
• Position Comprinno's offerings including:
• Cloud Migration
• Cloud Modernization
• Platform Engineering
• DevOps Transformation
• Managed Services
• Security & Compliance
• Data Analytics
• Generative AI
• Articulate business value, ROI, scalability, and operational benefits.
• Collaborate closely with Presales and Solution Architecture teams for technical solutioning.

Startup Ecosystem Development

• Build and maintain strong relationships with:
• Startup Founders
• CTOs
• Accelerators
• Incubators
• Venture Capital Firms
• Startup Communities
• Represent Comprinno at startup events, meetups, hackathons, webinars, and industry forums.
• Build ecosystem-driven lead generation channels.
• Create long-term strategic relationships within the startup ecosystem.

AWS Startup Program Alignment

• Collaborate with AWS Startup, ISV, and Digital Native Business teams.
• Leverage AWS programs including:
• AWS Activate
• MAP
• Well-Architected Reviews
• GenAI Programs
• Startup Funding Initiatives
• Build relationships with AWS Startup Account Managers and Startup Solution Architects.
• Position Comprinno as a trusted AWS implementation and innovation partner.

Revenue Growth & Account Expansion

• Drive acquisition of new startup customers.
• Identify upsell and cross-sell opportunities within existing accounts.
• Expand engagements from:
• Migration
• Modernization
• Managed Services
• Data & AI
• Security
• Develop long-term account growth strategies.

Collaboration & Market Feedback

• Work closely with:
• Marketing
• SDR Teams
• Presales
• Delivery Teams
• AWS Partner Teams
• Provide market intelligence and customer feedback.
• Help refine messaging, offerings, and GTM strategies for startup customers.
• Contribute to startup-focused sales playbooks and best practices.

Required Qualifications & Skills

• Bachelor's degree in Engineering, Technology, Computer Science, or related disciplines.
• 4–7 years of experience in B2B technology sales, cloud consulting sales, IT services sales, or startup-focused solution sales.
• Strong understanding of India's startup ecosystem, including Seed, Series A, Series B, and growth-stage companies.
• Experience selling one or more of the following:
• Cloud Services
• DevOps Services
• Managed Services
• Data Analytics
• AI/GenAI Solutions
• SaaS Platforms
• Proven ability to engage founders, CTOs, and senior technology stakeholders.
• Strong consultative selling and value-based sales skills.
• Excellent communication, presentation, negotiation, and relationship-building abilities.
• Experience managing opportunities through the complete sales lifecycle.
• Strong CRM discipline and forecasting accuracy.
• High ownership mindset and ability to operate independently.

Desired Qualifications & Skills

• MBA from a reputed institution.
• AWS Cloud Practitioner or AWS Solutions Architect – Associate certification.
• Experience working with AWS Partner ecosystem and startup programs.
• Existing network within startup, VC, accelerator, or founder communities.
• Exposure to Cloud, Data Analytics, AI, or GenAI solution selling.
• Experience working in high-growth startup or consulting environments.

What We're Looking For

• Entrepreneurial mindset and startup DNA.
• High urgency and execution focus.
• Strong hunter mentality with account expansion capability.
• Ability to simplify complex technology into business outcomes.
• Curiosity, resilience, and continuous learning mindset.
• Relationship-oriented approach with strong commercial acumen.
• Passion for helping startups scale through technology.

What Success Looks Like

• Consistent achievement of quarterly and annual revenue targets.
• Strong pipeline generation and opportunity conversion rates.
• High win rates within startup and digital-native accounts.
• Successful acquisition of new startup customers.
• Growth of AWS-sourced and ecosystem-driven opportunities.
• Strong CRM hygiene and forecasting accuracy.
• Creation of repeatable startup sales playbooks and best practices.
• Meaningful contribution to Comprinno's startup ecosystem presence.

Why Join Comprinno

• Work with one of the leading AWS consulting partners in India and APJ.
• Engage with some of the fastest-growing startups and digital-native businesses.
• Sell cutting-edge Cloud, DevOps, Data Analytics, and AI solutions.
• Collaborate closely with AWS Startup teams and ecosystem partners.
• Accelerate your career in a high-growth, high-impact environment.
• Join a culture that values ownership, innovation, learning, and customer success.

Sr Backend Developer (Full Stack – Python / Django)

Preference: Please apply only if you are an IIT/NIT graduate and have strong hands-on experience in full-stack development with Python & Django.

Insurance/InsurTech experience is preferred. Strong engineering fundamentals and a willingness to learn the domain are more important.

Office location – Bangalore

Work mode – Onsite

Working Days – 5 days a week

Budget - 12-15 LPA

Work Experience - 2-5 years

Role Summary

We’re hiring Sr Backend Developers with strong full-stack Django expertise to own backend workstreams end-to-end and contribute to frontend development when needed. Hands-on Python/Django experience is essential.

(HTML, JavaScript, jQuery, CSS).

Key Responsibilities

 Design, build, and maintain scalable backend services and APIs for Fuse-OS

 Own medium-to-complex workstreams end-to-end: data models, APIs, background jobs, and light UI

wiring

 Improve reliability, performance, observability, and maintainability of production systems

 Apply sound engineering practices for multi-tenant SaaS (security, permissions, data isolation)

 Collaborate closely with frontend, QA, and product/delivery to ship high-quality releases

 Mentor other backend engineers through design discussions, pairing, and code reviews

 Participate in architecture discussions and help evolve platform technical standards

 Support production troubleshooting and continuous improvement of engineering quality

Required Skills & Qualifications

 Solid experience with Django REST Framework, asynchronous job processing (e.g., Celery), Redis, and

PostgreSQL

 Proven ability to design data models, write migrations, and ship maintainable APIs

 Full-stack capability: HTML, JavaScript, jQuery, and CSS sufficient to complete UI wiring without blocking

frontend

 Strong debugging skills across application, database, and background-job layers

 Experience collaborating in Agile teams with clear quality standards and delivery cadence

Preferred / Nice to Have

 Hands-on Selenium automation experience with Python (big plus)

 AWS familiarity (compute, storage, messaging, monitoring, IAM basics) — optional but strongly preferred

 Experience with multi-tenant architectures, containers, and production SaaS operations

 Exposure to document/data processing pipelines, reconciliation-style systems, or enterprise integrations

 Awareness of application security, RBAC, auditability, and privacy-by-design practices

 Interest in AI-assisted product workflows and intelligent automation

What We Offer

 Opportunity to build a category-defining Insurance Distribution Operating System (Fuse-OS)

 Work on modern multi-tenant SaaS architecture with meaningful ownership and mentoring

 Collaborative product and engineering culture focused on quality and customer outcomes

 Exposure to enterprise SaaS, AI-enabled workflows, and large-scale operational systems

Customer Experience Specialist / Sales Representative

Aliens Art Pvt. Ltd. | Mumbai

About Aliens

Aliens is India’s leading premium tattoo and lifestyle brand, redefining customer experiences through creativity, craftsmanship, and innovation. With studios across India, we are committed to delivering exceptional experiences and building customer relationships.

Role Overview

We are looking for an energetic, customer-focused Customer Experience Specialist / Sales Representative to join our team. You will be the first point of contact for prospective customers, handling calls and chats, understanding their requirements, providing personalized guidance, and converting inquiries into successful business opportunities.

Key Responsibilities

• Handle inbound and outbound calls with prospective customers.

• Respond promptly to customer queries through chat and other communication channels.

• Understand customer needs and recommend suitable services.

• Convert, follow up, and nurture leads to maximize sales opportunities.

• Build strong relationships with prospects and existing customers.

• Maintain accurate customer information and updates in the CRM.

• Follow sales processes, SOPs, and customer engagement guidelines.

• Coordinate with internal teams to ensure a seamless customer journey.

• Achieve individual and team sales targets while maintaining service quality.

Requirements

• Minimum qualification: 12th pass; graduates preferred.

• 1+ year of experience in sales, customer service, telecalling, inside sales, customer support, or business development.

• Excellent verbal and written communication skills.

• Strong persuasion, negotiation, listening, and relationship-building abilities.

• Customer-centric, empathetic, adaptable, and target-oriented approach.

• Basic CRM knowledge is an advantage.

Why Join Aliens?

Enjoy high-growth career opportunities, performance-based incentives, a creative and collaborative work environment, continuous learning and development, and the opportunity to make an impact on customer experience.

We are looking for a Database Engineer (PostgreSQL) with 1-5 years of experience to manage, optimize, and maintain PostgreSQL databases. The ideal candidate will have expertise in PostgreSQL, SQL Optimization, Database Design, Performance Tuning, Data Migration, and Backup & Recovery.

Responsibilities:

• Design, develop, and maintain PostgreSQL databases.
• Optimize SQL queries and improve database performance.
• Perform database design, indexing, and schema management.
• Execute data migration, backup, recovery, and disaster recovery activities.
• Monitor database health and troubleshoot performance issues.
• Collaborate with development teams to ensure scalable database solutions.

Requirements:

• 1-5 years of PostgreSQL database experience.
• Strong SQL and performance tuning skills.
• Knowledge of database backup, recovery, and migration processes.

Strong Backend Node.js Developer Profile

2

Mandatory (Experience 1) – Must have 7+ years of hands-on Backend Engineering experience using Node.js building production-grade systems for B2C products at meaningful consumer scale

3

Mandatory (Experience 2) – Must be AI-native in their own engineering workflow: already uses LLMs and agentic tooling across the SDLC, from design and code generation through testing and debugging

4

Mandatory (Experience 3) – Must have owned backend architecture end to end, including greenfield builds. Should be able to make early architecture calls and reason clearly about service boundaries, data flow, caching, queueing, failure modes, scalability, and reliability trade-offs under real constraints.

5

Mandatory (Experience 4) – Must have a solid understanding of backend fundamentals, including API development, service-oriented architecture, data structures, algorithms, and clean coding practices

6

Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs and backend services, including integrations with external systems and third-party platforms

7

Mandatory (Experience 6) – Must have strong experience working with databases (SQL and/or NoSQL), including efficient data modeling, query optimization, and performance tuning

8

Mandatory (Company) – Must have worked in B2C product companies / startups at meaningful consumer scale. (WealthTech, FinTech, or high-growth consumer product background is highly preferred)

9

Mandatory (Stability) – Must have a stable career history, with consistent tenure across previous companies; frequent job-hopping will not be considered

10

Mandatory (AI Product) – Must have experience building and shipping products that use LLMs and agentic workflows to end users.

11

Mandatory (College) – ) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes (IITs, not NITs). Candidates from other institutions will not be considered unless they come from top top-tier product companies

12

Mandatory (Compensation Alignment) – Candidate must be comfortable with the compensation structure where the company matches their current CTC and provides ESOPs, without any salary hike

Mandatory:

• The candidates should be from Capital Market domain
• The candidates should be from B.Tech background

Required Skills:

• 12–18 years in the tech industry, with 2–4 years in technical leadership or managerial roles.
• Technical Expertise: Expertise in C++ development, enterprise architecture, and scalable system design, and proficiency in performance optimization, scalability, software architecture, and networking principles. Extensive experience managing the full development lifecycle of large-scale software products, from concept to deployment.
• Strong knowledge of STL containers, multi-threading concepts, and algorithms. Solid understanding of memory management and efficient resource utilization.
• Microservices Architecture Expertise: Experience in designing and implementing scalable, reliable microservices.
• Strong Communication & Decision-Making Skills: Ability to clearly articulate trade-offs, make informed decisions, and ensure alignment across stakeholders.
• Commitment to Creating and fostering Engineering Excellence: Deep understanding of best practices, including code quality, testability, security, and release management, and passion for fostering a strong engineering culture and continuously improving developer workflows and tools.
• Self-Driven and Motivated: Ability to operate independently while driving impactful results.

Key responsibilities:

• Technical Expertise:

○ C++ coding and debugging to strengthen and optimize systems.

○ Design and architecture (HLD/LLD) to ensure scalable and robust solutions.

○ Implementing and enhancing DevOps, Agile, and CI/CD pipelines to

improve development workflows.

○ Managing escalations and ensuring high-quality customer outcomes.

• Architecture & Design:

○ Define and refine the architectural vision and technical roadmap for enterprise

software solutions.

○ Design scalable, maintainable, and secure systems in line with business goals.

○ Collaborate with stakeholders to translate requirements into technical

solutions.

○ Driving engineering initiatives to foster innovation, efficiency, and excellence.

• Project Management:

○ Oversee project timelines, deliverables, and quality assurance processes.

○ Coordinate cross-functional teams to ensure seamless integration of systems.

○ Identify risks and proactively implement mitigation strategies.

• Technical Leadership:

○ Lead and mentor a team of engineers, fostering a collaborative and high- performance culture.

○ Provide technical direction and guidance on complex software engineering challenges

○ Drive code quality, best practices, and standards across the engineering team.

SAP Controlling

Job Description:

SAP CO Consultant – S/4HANA Migration / Brownfield Implementation

Total Experience Required: 15 years of total experience

Relevant Experience: 8+ years of relevant experience in SAP CO

Implementation Deployment: Global and overseas client environment

Location: Bengaluru

Work Mode: Hybrid – 3 days per week (Mandatory)

Role Overview:

We are looking for an experienced SAP CO Consultant with strong hands-on consulting experience to support and execute a global SAP ECC to S/4HANA brownfield migration project. The consultant will be part of a large-scale implementation involving 120+ company codes/legal entities across multiple countries.The role requires strong SAP CO functional expertise, prior experience in global SAP projects, and the ability to work directly with international stakeholders and end clients.

Key Responsibilities:

Run and execute SAP CO activities for a brownfield S/4HANA implementation project.Participate in requirement validation, process analysis, configuration, and solution design.Support migration from SAP ECC to SAP S/4HANA in an on-premise environment.Validate existing SAP CO processes and ensure alignment with S/4HANA standards.Work with global business teams, overseas clients, and crossfunctional SAP teams.Support workshops, design discussions, configuration, testing support, cutover, and deployment activities.Identify process gaps, risks, and improvement opportunities during migration.Ensure deliverables are completed within project timelines and quality expectations.Communicate clearly with

stakeholders across geographies.

Mandatory Skills

10+ years of strong hands-on SAP CO consulting experience. Core SAP CO experience in areas such as: Cost Center Accounting Profit Center AccountingInternal Orders Product Costing Profitability Analysis Month-end and year-end closing processes Integration with FI, MM, SD, and PP Integration with 3rd party systems Experience in SAP S/4HANA implementation or migration projects. Strong understanding of ECC to S/4HANA migration approach. Experience in global rollout /global implementation projects. Ability to work with multiple company codes, legal entities, and countries. Strong client-facing consulting experience. Excellent communication, coordination, and stakeholder management skills.

Preferred Profile

Candidates from consulting companies / SAP implementation partner background will be preferred. Prior experience with global or overseas clients is highly desirable. Experience in large enterprise SAP transformation programs. Ability to work independently and drive assigned workstreams. Strong documentation, workshop, and presentation skills.

Roles & Responsibilities

• Design, develop, and maintain scalable full-stack web applications using modern frontend and backend technologies.
• Build responsive, high-performance user interfaces using React.js and Next.js. Develop secure and scalable backend services and RESTful APIs using Node.js andExpress.js.
• Design, optimize, and maintain databases using PostgreSQL and MongoDB. Collaborate with Product, Design, QA, and Engineering teams to deliver high-quality software solutions.
• Take ownership of application features from design and development through deployment and maintenance.
• Participate in architecture discussions and contribute to technical decision-making.
• Conduct code reviews, mentor junior developers, and drive engineering best practices.
• Optimize application performance, scalability, security, and maintainability.
• Troubleshoot production issues and implement long-term technical improvements.

Required Skills

Core Technical Skills

• React.js & Next.js
• Node.js&Express.js
• Java Script (ES6+) & TypeScript
• PostgreSQL& MongoDB
• RESTful API Development
• HTML5,CSS3&Responsive Design
• Git & Version Control
• Component-Based Architecture
• Software Design Principles
• Performance Optimization

Preferred Skills

• Docker &CI/CD Pipelines
• AWS, Azure, or Google Cloud Platform (GCP)
• Redux Toolkit &RTK Query
• Jest & React Testing Library
• Microservices Architecture
• Agile/Scrum Development

Perks & Benefits:

• Paid Annual Leaves
• Long vacation during new year
• PF, Health Insurance, Team Lunches
• Great job satisfaction
• Immense learning &personal development

Additional Details:

• Job Title: Senior Full Stack Developer
• CTC: Upto10 LPA
• Location: JP Nagar, Bengaluru
• Job Type: Full Time(Onsite)
• Working Days: 6 Days
• Experience: 4- 7 Years
• Notice Period: Immediate to 7 day

Key Responsibilities

• Develop and execute content marketing & SEO strategies.
• Plan and manage the content calendar.
• Create and optimize blogs, landing pages, product pages, case studies, and marketing content.
• Conduct keyword research, content audits, and competitor analysis.
• Improve organic traffic, keyword rankings, and lead generation.
• Collaborate with Product, Design, Development, and Marketing teams.
• Lead, mentor, and review the Content team.
• Track content performance using analytics and optimize campaigns.

Required Skills

• Content Marketing Strategy
• SEO & Keyword Research
• Content Planning & Editorial Management
• Copywriting & Content Editing
• Product & Technical Content Writing
• Brand Storytelling
• Marketing Analytics
• Team Leadership
• Project & Stakeholder Management

Tools

• Google Analytics
• Google Search Console
• Google Tag Manager
• SEMrush
• WordPress / CMS
• AI Writing Tools
• Jira / Trello / Asana / ClickUp
• Microsoft Office / Google Workspace

Perks and Benefits

• Paid Annual Leaves
• PF & Health Insurance
• Team Lunches
• Long New Year Vacation
• Learning & Career Growth

Additional Details:

• Job Title: Content Marketing Lead
• CTC: Up to 7.5 LPA
• Location: JP Nagar, Bengaluru
• Job Type: Full Time (Onsite)
• Working Days: 6 Days
• Experience: 3 - 5 Years
• Notice Period: Immediate to 7 days

Senior Content Strategist

Marketing · Organic Growth (SEO + GEO + AEO)

5 days WFO 🕐 Full-Time · Senior IC role Individual contributor role. Path to leadership after you've proved the impact.

Read This First

If you're a Content Leader at a mid-size SaaS company right now, you probably know the trap: mostly managing, rarely strategizing, and almost never doing the actual work.

You'll do the work. You'll run the audits yourself, pick the keywords that matter out of the pool, rewrite the pages that need rewriting, build the dashboards, and set the roadmap the team executes against. Deliver a strong early turnaround, and a team gets built around you. But we're hiring for the person who can produce the outcome not for the person who wants to skip straight to owning the org chart.

Most senior content people can't do this anymore. If you still can this is the seat.

The Mission

We aren't automating scripts we're deprecating the era of manual-heavy testing entirely. TestMu AI is building the world's first AI-native platform where Agentic Intelligence autonomously plans, authors, and self-heals the entire Quality Engineering lifecycle.

The name "TestMu" comes from our community conference — our users and our team are the heartbeat of what we build, not an audience.

As we rebrand from LambdaTest to TestMu AI, our organic footprint needs someone who can protect what's ranking, rebuild what isn't, and set us up to win in the world where developers ask ChatGPT and Perplexity before they open Google. That's the seat.

Why This Seat Matters Right Now

GEO (Generative Engine Optimization) is a young discipline. Nobody has a playbook. You get to write one for an AI-native product, at the exact moment developers are shifting how they search.

A large keyword pool. A rebrand mid-flight. Real ranking positions to defend and real gaps to close. This is not "come manage a stable content engine."

Full LLM tooling from day one Claude, ChatGPT, whatever else you need. Not for content generation (that's the boring use). For analysis, dashboarding, opportunity detection, and the operational SEO work that used to take a team of three.

A product that people actually search for. QA engineers, dev leads, and CTOs at companies like Wells Fargo, JPMorgan, Meta, Louis Vuitton, and Sephora are your audience. High-intent, high-value, high-leverage.

What You'll Own

This is real work. Not oversight.

• The AEO + SEO + GEO strategy for TestMu AI end to end. What we rank for today, what we should rank for, and how we win in AI answer engines as the search landscape shifts.
• Prioritisation across a sprawling keyword pool. You'll pick what matters first, defend the choice, and hold the line when other functions want to hijack the roadmap.
• Hands-on execution on the top-priority pages audit, rewrite, consolidate, or deprioritise. You don't just brief this work. You do the parts that need your judgment.
• The weekly and monthly cadence how the content team runs, what they work on, what gets shipped, and how it gets measured.
• The dashboards and reporting layer — Google Search Console data, page-level trends, alerts on ranking drops, and recurring performance updates the whole company reads.
• The early-innings outcome measurable movement in organic clicks and ranking on the priority set. Not a large unactioned backlog. Real improvement, defensible in a room.

How You'll Spend Your Week

So you know what you're walking into.

• Mornings in Google Search Console what moved, what dropped, what deserves attention today.
• Deep audit blocks pulling data with Ahrefs / SEMrush, running Apify workflows, digging into why a specific set of pages isn't converting search intent.
• Actually writing and rewriting the pages where your judgment is the difference between a page that ranks and one that doesn't. This is not delegated.
• Team enablement briefing the existing content team on priorities, reviewing their work, teaching the SEO/GEO lens as you go.
• Building dashboards and alerts the reporting layer that makes organic performance visible to marketing, product, and leadership without meetings.
• Weekly leadership sync showing the numbers, defending the priorities, and shifting the plan when the data says so.

How We'll Know You're Great

Signals we're looking for.

• You think in queries and intent, not in "topics." You can look at a keyword and see the buyer journey, the SERP composition, and the fastest path to ranking without being told.
• You use LLMs as a second brain, not a content mill. You've built at least one workflow that automates something in your SEO stack analysis, clustering, opportunity detection, brief generation from SERP data.
• You know what changed in search this year. Google's AI Overviews, the shift to answer engines, the way core updates hit topical authority. You have opinions, and they're informed.
• You've been the person who made the numbers move — not the person who managed the person who made the numbers move. You can point to specific pages, specific quarters, specific traffic curves.
• Extreme ownership: you take full accountability for outcomes, not just tasks.

Your Early Runway

Precision expectations. Not vibes.

Diagnose first.

• Audit current content and organic performance across the domain.
• Identify priority pages, keyword clusters, and the immediate fixes worth shipping early.
• Set up dashboards, alerts, reporting cadence, and the SEO/GEO roadmap the team will execute against.

Then ship and prove.

• Drive execution on the highest-priority pages and optimisations. Your hands on the ones that need it.
• Show measurable movement in organic clicks and priority-page rankings not a backlog, an actual curve.
• Prove a repeatable prioritisation model the team can run without you in the room for every decision.
• Earn the case for expanded scope team leadership is discussed only after hands-on impact is on the table.

Your Toolkit

What you'll be fluent in or become fluent in fast.

• Google Search Console this is where you live. Daily. Non-negotiable fluency.
• Ahrefs, SEMrush, or equivalent for keyword and backlink intelligence.
• Apify for scraping, competitive tracking, and SERP data at scale.
• Claude and other LLMs as operational tools for audits, clustering, brief generation, dashboard building, and any analysis that used to take days.
• Dashboard, alerting, and reporting whatever tool makes the numbers visible.

Who This Is For (And Who It Isn't)

This role is for you if:

• You've spent years deep in SEO / content strategy, primarily in B2B SaaS, tech, or IT (EdTech, FinTech, and post-COVID high-growth companies are also relevant).
• You still love the craft. You'd rather run an audit yourself than send it to someone junior and hope.
• You want to move fast, work in ambiguity, and be trusted with real ownership.
• You're excited about GEO as the next frontier not defensive about it.

This role is not for you if:

• You haven't done hands-on SEO work in a long while.
• You want a purely managerial seat with a large team and predictable rhythms.
• You need a highly structured corporate environment.
• You'd rather set direction than execute against it.

Your Path

Your growth at TestMu AI is mapped to what you ship. Deliver a strong early turnaround and you earn the case for building a team around you. Prove that team can compound the outcome, and Lead - Content is the next seat. This is the ladder, and it's earned not inherited.

Company Description

Appiness Interactive Pvt. Ltd. is a Bangalore-based product development and UX firm that specializes in digital services for startups to fortune-500s. We work closely with our clients to create a comprehensive soul for their brand in the online world, engaged through multiple platforms of digital media. Our team is young, passionate, and aggressive, not afraid to think out of the box or tread the un-trodden path in order to deliver the best results for our clients. We pride ourselves on Practical Creativity where the idea is only as good as the returns it fetches for our clients.

Role Overview

We are looking for an experienced Senior Cloud Security Engineer with 7+ years of experience, including strong hands-on expertise in AWS Cloud Security. The candidate will be responsible for designing, implementing, assessing, and continuously improving security across AWS cloud environments. The role requires strong knowledge of cloud security architecture, IAM, network security, threat detection, vulnerability management, incident response, security monitoring, encryption, and DevSecOps.

This is a highly technical position. Hands-on technical expertise will be given significantly more importance than communication skills. Good written and verbal communication is sufficient.

Key Responsibilities

• Design and implement secure AWS cloud architectures.
• Establish and maintain AWS security best practices and security controls.
• Implement IAM, RBAC, least-privilege access, MFA, federation and privileged access controls.
• Secure AWS networking including VPCs, Security Groups, NACLs, routing, private/public subnets and VPC endpoints.
• Implement and manage AWS security services including:
• AWS IAM
• AWS KMS
• AWS CloudTrail
• Amazon GuardDuty
• AWS Security Hub
• AWS Config
• AWS WAF
• AWS Secrets Manager
• Monitor and investigate security events, threats and suspicious activities.
• Lead or participate in cloud security incident response and root-cause analysis.
• Conduct vulnerability assessments and coordinate remediation.
• Perform AWS security posture reviews and identify misconfigurations.
• Review cloud architectures and provide security recommendations.
• Implement encryption and data protection controls.
• Secure CI/CD pipelines and support DevSecOps practices.
• Review Infrastructure as Code for security risks.
• Implement security automation wherever possible.
• Work with engineering, DevOps and infrastructure teams to embed security into the development lifecycle.
• Establish security standards, policies and controls for AWS environments.
• Support compliance requirements and security audits.
• Mentor junior engineers and provide technical guidance.

Mandatory Technical Skills

Must Have

• 7+ years of overall IT/Security/Cloud experience
• Strong AWS Cloud Security experience
• Hands-on AWS security architecture
• AWS IAM
• IAM policies, roles, permissions and least privilege
• AWS networking security
• VPC, Security Groups and NACLs
• CloudTrail and security logging
• GuardDuty
• Security Hub
• KMS and encryption
• Vulnerability management
• Cloud security monitoring
• Incident response
• Security hardening
• Security architecture/design

Good to Have

• AWS Organizations / SCP
• Terraform / CloudFormation
• DevSecOps
• CI/CD security
• Docker/Kubernetes security
• SAST/DAST/SCA
• SIEM tools
• Python/Bash/PowerShell scripting
• CIS Benchmarks
• NIST
• ISO 27001
• SOC 2
• AWS security certifications

EMBEDDED AI ENGINEERING POD

AI Implementation Engineer Role

Level: AI Implementation Engineer Senior / Advanced - 6+ years

Practice: Wissen GenAI

Locations: Mumbai / Bengaluru / New York - hybrid, embedded with delivery teams

Reports to: EMBEDDED AI PRACTICE Senior AI Engineering Specialist (Architect); Wissen GenAI Program Lead

Embedded inside enterprise delivery teams, you work closely with global, cross-regional teams to turn prioritized GenAI use cases into production software - building, integrating, and hardening Azure-based AI solutions and accelerating adoption within the teams you join.

You deliver production software and help the teams you join work faster.

As an embedded AI Implementation Engineer, you help convert prioritized use cases into shipped, governed, measurable software.

Key responsibilities

1. Build and ship.

Implement GenAI features end to end on Azure - RAG pipelines, agents, APIs, and UI integrations - against enterprise systems and data.

2. Embed and enable.

Work inside the delivery pods: pair with their engineers, remove blockers, and transfer GenAI skills so adoption sticks after you move on.

3. Productionize.

Add evaluation, observability, guardrails, caching, and CI/CD so prototypes become reliable, cost-efficient services.

4. Integrate securely.

Connect to enterprise data with correct access control, secrets management, and compliance with enterprise security standards and handling of sensitive data.

5. Iterate on quality.

Use evaluation results and user feedback to improve grounding, accuracy, latency, and cost.

6. Measure.

Track delivery and quality metrics that roll up to the program's targets.

Must-have qualifications

• 6+ years in software engineering, with 2+ years building GenAI/LLM applications in production.
• Strong Python (incl. async) and Java (the primary enterprise application stack; Spring a plus); solid API and systems design.
• Azure GenAI hands-on: Azure OpenAI, Azure AI Foundry, Azure AI Search for RAG, Azure AI Document Intelligence (IDP), and Prompt Flow.
• Agent frameworks: Microsoft Agent Framework / Semantic Kernel / AutoGen (or LangChain / LangGraph) and tool / function calling.

Preferred

• RAG fundamentals: embeddings, chunking, vector search, reranking, and grounding.
• Data platforms: Snowflake including Cortex AI (Cortex Search, LLM functions) and SQL, for accessing and grounding on enterprise data.
• Prompt engineering as versioned code; building and running evaluations.
• DevOps: Azure DevOps / GitHub Actions, Docker, AKS / Azure Functions, and observability.
• Financial services or other regulated environments.
• Front-end (React) for AI-assisted UX; streaming and token level operations.
• Azure AI Content Safety and responsible-AI practices.
• Certification: Azure AI Engineer Associate.

What success looks like - first 6 to 12 months

• Multiple GenAI features shipped to production within the embedded delivery pods.
• Measurable adoption and productivity uplift in the teams you support.
• Reusable components adopted from the architects' reference framework.
• Clear contribution to faster time-to-market and lower defect rates.

Strong Technical Implementation manager profile with exposure to enterprise clients in B2B SaaS domain

2

Mandatory (Experience 1) – Must have 4+ years in Technical Implementation Manager/ SaaS Implementation manager/Technical Project Implementation Manager with atleast the recent 2+ years in a B2B SaaS company dealing with enterprise clients

3

Mandatory (Experience 2) – Must have direct experience leading end-to-end software/tech product/tech project delivery

4

Mandatory (Experience 3) – Must have External / Client project implementation experience (Don't want internal project manager)

5

Mandatory (Experience 4) - Experience coordinating with Product, Engineering, and Support teams to ensure successful customer go-live.

6

Mandatory ( Experience 5) – Must be comfortable engaging and presenting to C-level executives, Directors, VP-level stakeholders, and enterprise decision-makers, with proven ability to build strategic long-term relationships

7

Mandatory (Core Skills) – Strong communication, stakeholder management, and executive-level reporting capability

8

Mandatory (Company) -B2B SaaS Product companies

9

Mandatory (Note 1): Not looking for implementation engineer but someone who handles the implementation projects. In their current or most recent role, the candidate must be the accountable owner of implementation projects (primary client point of contact, owns the project plan and go-live), not a hands-on specialist executing the build.

UNext is a next-generation online learning organization focused on the higher education ecosystem. UNext aims to improve access, increase affordability, provide high-quality content and pedagogy, and deliver enhanced outcomes for the student/learner community by leveraging technology.

UNext is India’s first ed-tech company that provides end-to-end learning and assessment solutions in the online education space. With a best-in-class content and technology stack, UNext offers platforms for online courses, digital and online assessments, and student engagement tools.

The platform is designed to help universities, colleges, and institutions make quality education affordable and accessible to learners anytime and anywhere. Replicating the on-campus experience online, UNext provides an immersive learning experience through a mobile-first LMS platform, access to world-class courses through synchronous and asynchronous learning, modern pedagogy, online assessments, alumni networks, and expert assistance to improve learner outcomes.

Role Overview: - The Admission Counsellor will play a fundamental role in achieving customer acquisition goals and revenue growth objectives. The candidate will be responsible for guiding prospective students through the admission process, understanding their educational needs, and recommending suitable programs.

Key Responsibilities

• Source new sales opportunities through inbound lead follow-up and outbound cold calls and emails.

• Responsible for student admissions and achieving assigned sales targets.

• Understand customer needs and recommend suitable programs.

• Close sales and achieve quarterly revenue quotas.

• Counsel and interact with students and parents regarding program options.

• Support students one-on-one with course selection, application process, and meeting deadlines.

• Assist students in obtaining necessary documentation required for the application process.

• Provide students and parents with information regarding admission requirements, enrollment processes, and procedures.

• Coordinate efficient handling of applications and communication with parents of student applicants.

Requirements

• Ability to empathize with students and parents and build strong relationships through conversations.

• Strong inclination to work in a target-driven sales environment.

• Proven expertise in converting leads into sales.

• Experience working with CRM systems.

• Fluency in English and Hindi is mandatory.

• Strong listening, communication, and presentation skills.

Job Summary

We are looking for an experienced .NET Core Developer with strong expertise in C#, Angular, ASP.NET, AWS Object-Oriented Programming (OOPS), SOLID Principles, and Unit Testing. The ideal candidate will be responsible for designing, developing, testing, and maintaining scalable, high-performance web applications while following coding best practices and clean architecture principles.

Mandatory Skills

• .NET Core / ASP.NET Core
• C#
• Angular
• AWS
• OOPS Concepts
• ASP.NET MVC / Web API
• SOLID Principles
• Unit Testing (xUnit, NUnit, or MSTest)
• Entity Framework Core
• RESTful API Development
• SQL Server

Roles & Responsibilities

• Develop, enhance, and maintain enterprise-grade applications using .NET Core and C#.
• Design and build scalable REST APIs and backend services.
• Apply OOPS concepts and SOLID principles to produce clean, maintainable code.
• Write comprehensive unit tests to ensure application reliability and code quality.
• Participate in code reviews and follow secure coding standards.
• Optimize application performance and troubleshoot production issues.
• Collaborate with cross-functional teams including UI developers, QA, and product owners.
• Follow Agile/Scrum methodologies throughout the development lifecycle.

Presales Engineer – Cloud & AI — Comprinno, Bangalore (3–5 yrs experience)

Role: Bridges Sales, Solution Architects, Data & AI, and Delivery teams — shaping technical solutions, driving discovery conversations, and translating customer needs into cloud/AI architectures.

Core responsibilities:

• Customer discovery workshops, cloud assessments, and migration readiness evaluations
• Cloud transformation consulting (migration, modernization, DevOps, security, DR) using AWS frameworks (MAP, WAFR, FTR)
• AI/GenAI solution consulting — identifying use cases for GenAI, AI Assistants, Agentic AI, conversational AI
• Building technical proposals, architecture diagrams, SOWs, RFP/RFI responses
• Supporting PoCs, demos, and technical validations
• Customer-facing engagement, thought leadership (blogs, webinars, case studies)
• Maintaining reusable presales assets and knowledge repositories
• Travel for customer meetings/workshops as needed

Must-have qualifications:

• Bachelor's in CS/IT/Engineering or related
• Strong AWS knowledge (compute, networking, storage, security, databases)
• Kubernetes, containerization, cloud-native architecture, DevOps, IaC (Terraform/CloudFormation)
• GenAI concepts: LLMs, prompt engineering, RAG, AI assistants, Agentic AI
• Familiarity with Bedrock, SageMaker, Amazon Q; LangChain, LangGraph, CrewAI, OpenAI/Anthropic APIs
• AWS Solutions Architect – Associate Certification (mandatory)
• Strong communication/stakeholder management

Nice-to-have: AWS specialty certs (Security, ML, Networking, DevOps Pro), compliance knowledge (ISO 27001, SOC 2, HIPAA), MBA, published thought leadership.