11+ Workflow analysis Jobs in Bangalore (Bengaluru) | Workflow analysis Job openings in Bangalore (Bengaluru)

Location: Bangalore

Experience: 3–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most AI products fail not because they lack capability, but because they don’t deliver repeatable outcomes at scale.

We are building a platform where AI agents don’t just respond — they execute workflows reliably across enterprises.

This role exists to ensure:

• We can deploy across multiple Tier-1 customers without breaking
• We can measure outcomes, not activity
• We become impossible to replace at renewal

What you’ll do

You will not manage a backlog.

You will own the product as a system that drives business outcomes.

1. Build the workflow execution platform (v2)

• Ship a platform that supports 3+ concurrent Tier-1 deployments without custom forks
• Eliminate one-off implementations — move toward configurable, reusable systems
• Ensure the product works across real enterprise environments, not ideal ones

2. Own outcome tracking and monetization layer

• Design instrumentation to track:
• Business outcomes (conversion, recovery, resolution)
• Not just interactions or usage
• Enable hybrid pricing models (Stage 2) across multiple accounts
• Ensure every deployment can prove ROI clearly

3. Convert customer reality into product roadmap

• Work directly with insurers like:
• SBI Life Insurance, HDFC Life, ICICI Prudential Life Insurance
• Translate:
• Feedback
• Failure modes
• Operational friction
• into clear product priorities
• Build features that make the platform 2x harder to rip out at renewal

4. Create new AI-native product segments

• Identify workflows that were not possible before AI
• Build entirely new categories of automation and execution
• Go beyond efficiency — enable new revenue or capability layers

5. Drive cost reduction and operational efficiency

• Reduce dependency on:
• Support teams
• Manual intervention
• Move toward self-serve, reliable execution
• Target: support dependency → near zero

6. Improve activation and time-to-value

• Reduce deployment/activation time to 7–21 days
• Work closely with deployment teams to remove friction
• Ensure customers see value within weeks, not months

7. Own customer experience of the product

• Ensure live customers:
• Are satisfied
• See consistent performance
• Track and improve:
• Reliability
• Latency
• Outcome success rates

What success looks like

• Platform supports multiple Tier-1 deployments without breaking
• Outcome tracking is clear, trusted, and monetizable
• Customers can prove ROI within weeks
• Product becomes deeply embedded and hard to replace
• Activation happens in ≤ 21 days
• Support dependency drops significantly

Who you are

• You have 3-5 years of product management experience
• You have built systems, not just features
• You are comfortable working in:
• Ambiguous environments
• Customer-facing contexts
• You think in:
• Outcomes
• Trade-offs
• Systems design

What will make you stand out

• Experience building enterprise SaaS or AI platforms
• Strong understanding of:
• Workflow systems
• Integrations
• Operational constraints
• Have worked closely with customers to shape product direction
• Have built products that are used daily in production environments

Why join

• You will define how AI actually works in enterprises
• Your work directly impacts:
• Revenue
• Retention
• Product defensibility
• You will build a platform that moves from demos → real execution

What this role is not

• Not a backlog manager
• Not a feature prioritizer in isolation
• Not disconnected from customers

What this role is

• A system builder
• A translator of customer reality into product truth
• A driver of outcome-based product thinking

One question to self-evaluate

Can you build a product that works across multiple enterprise customers without breaking — and proves its value every single day?

Job Description:

We are looking for skilled Design for Test (DFT) Engineers with 3–8 years of experience to join our growing team. The ideal candidate should have strong expertise in DFT architecture, implementation, and validation for complex SoCs.

Key Responsibilities:

• Develop and implement DFT architectures (Scan, MBIST, LBIST, Boundary Scan)
• Work on scan insertion, ATPG pattern generation, and fault coverage analysis
• Collaborate with design and verification teams for testability improvements
• Perform DFT verification and debug of test patterns
• Handle silicon bring-up, debug, and yield improvement activities
• Ensure high-quality test coverage and optimize test time

Required Skills:

• Strong hands-on experience in Scan, ATPG, MBIST, LBIST
• Good knowledge of DFT tools like Tessent / Modus / Encounter Test
• Experience in JTAG / Boundary Scan (IEEE 1149.1)
• Understanding of SoC architecture and digital design concepts
• Scripting knowledge in Perl / Python / Tcl
• Experience in debugging silicon issues is a plus

Overview

We are seeking an Azure Solutions Lead who will be responsible for managing and maintaining the overall architecture, design, application management and migrations, security of growing Cloud Infrastructure that supports the company’s core business and infrastructure systems and services. In this role, you will protect our critical information, systems, and assets, build new solutions, implement, and configure new applications and hardware, provide training, and optimize/monitor cloud systems. You must be passionate about applying technical skills that create operational efficiencies and offer solutions to support business operations and strategy roadmap.

Responsibilities:

• Works in tandem with our Architecture, Applications and Security teams
• Identify and implement the most optimal and secure Azure cloud-based solutions for the company.
• Design and implement end-to-end Azure data solutions, including data ingestion, storage, processing, and visualization.
• Architect data platforms using Azure services such as Azure Data Fabric, Azure Data Factory (ADF), Azure Databricks (ADB), Azure SQL Database, and One Lake etc.
• Develop and maintain data pipelines for efficient data movement and transformation.
• Design data models and schemas to support business requirements and analytical insights.
• Collaborate with stakeholders to understand business needs and translate them into technical solutions.
• Provide technical leadership and guidance to the data engineering team.
• Stay updated on emerging Azure technologies and best practices in data architecture.
• Stay current with industry trends, making recommendations as available to help keep the environment operating at it optimum while minimizing waste and maximizing investment.
• Create and update the documentation to facilitate cross-training and troubleshooting
• Work with the Security and Architecture teams to refine and deploy security best practices to identify, detect, protect, respond, and recover from threats to assets and information.

Qualifications:

• Overall 7+ years of IT Experience & minimum 2 years as an Azure Data Lead
• Strong expertise in all aspects of Azure services with a focus on data engineering & BI reporting.
• Proficiency in Azure Data Factory (ADF), Data Factory, Azure Databricks (ADB), SQL, NoSQL, PySpark, Power BI and other Azure data tools.
• Experience in data modelling, data warehousing, and business intelligence concepts.
• Proven track record of designing and implementing scalable and robust data solutions.
• Excellent communication skills with strong teamwork, analytical and troubleshooting skills, and attentiveness to detail.
• Self-starter, ability to work independently and within a team. 

NOTE: IT IS MANDATORY TO GIVE ONE TECHNICHAL ROUND FACE TO FACE.

We are seeking a skilled Data Engineer to join the AI Platform Capabilities team supporting the UDP Uplift program.

In this role, you will design, build, and test standardized data and AI platform capabilities across a multi-cloud environment (Azure & GCP).

You will collaborate closely with AI use case teams to develop:

• Scalable data pipelines
• Reusable data products
• Foundational data infrastructure

Your work will support advanced AI solutions such as:

• GenAI
• RAG (Retrieval-Augmented Generation)
• Document Intelligence

Key Responsibilities

• Design and develop scalable ETL/ELT pipelines for AI workloads
• Build and optimize data pipelines for structured & unstructured data
• Enable context processing & vector store integrations
• Support streaming data workflows and batch processing
• Ensure adherence to enterprise data models, governance, and security standards
• Collaborate with DataOps, MLOps, Security, and business teams (LBUs)
• Contribute to data lifecycle management for AI platforms

Required Skills

• 5–7 years of hands-on experience in Data Engineering
• Strong expertise in Python and advanced SQL
• Experience with GCP and/or Azure cloud-native data services
• Hands-on experience with PySpark / Spark SQL
• Experience building data pipelines for ML/AI workloads
• Understanding of CI/CD, Git, and Agile methodologies
• Knowledge of data quality, governance, and security practices
• Strong collaboration and stakeholder management skills

Nice-to-Have Skills

• Experience with Vector Databases / Vector Stores (for RAG pipelines)
• Familiarity with MLOps / GenAIOps concepts (feature stores, model registries, prompt management)
• Exposure to Knowledge Graphs / Context Stores / Document Intelligence workflows
• Experience with DBT (Data Build Tool)
• Knowledge of Infrastructure-as-Code (Terraform)
• Experience in multi-cloud deployments (Azure + GCP)
• Familiarity with event-driven systems (Kafka, Pub/Sub) & API integrations

Ideal Candidate Profile

• Strong data engineering foundation with AI/ML exposure
• Experience working in multi-cloud environments
• Ability to build production-grade, scalable data systems
• Comfortable working in cross-functional, fast-paced environments

ROLE - TECH LEAD/ARCHITECT with AI Expertise

Experience: 10–15 Years

Location: Bangalore (Onsite)

Company Type: Product-based | AI B2B SaaS

About ProductNova

ProductNova is a fast-growing product development organization that partners with

ambitious companies to build, modernize, and scale high-impact digital products. Our teams

of product leaders, engineers, AI specialists, and growth experts work at the intersection of

strategy, technology, and execution to help organizations create differentiated product

portfolios and accelerate business outcomes.

Founded in early 2023, ProductNova has successfully designed, built, and launched 20+

large-scale, AI-powered products and platforms across industries. We specialize in solving

complex business problems through thoughtful product design, robust engineering, and

responsible use of AI.

Product Development

We design and build user-centric, scalable, AI-native B2B SaaS products that are deeply

aligned with business goals and long-term value creation.

Our end-to-end product development approach covers the full lifecycle:

1. Product discovery and problem definition

2. User research and product strategy

3. Experience design and rapid prototyping

4. AI-enabled engineering, testing, and platform architecture

5. Product launch, adoption, and continuous improvement

From early concepts to market-ready solutions, we focus on building products that are

resilient, scalable, and ready for real-world adoption. Post-launch, we work closely with

customers to iterate based on user feedback and expand products across new use cases,

customer segments, and markets.

Growth & Scale

For early-stage companies and startups, we act as product partners—shaping ideas into

viable products, identifying target customers, achieving product-market fit, and supporting

go-to-market execution, iteration, and scale.

For established organizations, we help unlock the next phase of growth by identifying

opportunities to modernize and scale existing products, enter new geographies, and build

entirely new product lines. Our teams enable innovation through AI, platform re-

architecture, and portfolio expansion to support sustained business growth.

Role Overview

We are looking for a Tech Lead / Architect to drive the end-to-end technical design and

development of AI-powered B2B SaaS products. This role requires a strong hands-on

technologist who can work closely with ML Engineers and Full Stack Development teams,

own the product architecture, and ensure scalability, security, and compliance across the

platform.

Key Responsibilities

• Lead the end-to-end architecture and development of AI-driven B2B SaaS products

• Collaborate closely with ML Engineers, Data Scientists, and Full Stack Developers to

integrate AI/ML models into production systems

• Define and own the overall product technology stack, including backend, frontend,

data, and cloud infrastructure

• Design scalable, resilient, and high-performance architectures for multi-tenant SaaS

platforms

• Drive cloud-native deployments (Azure) using modern DevOps and CI/CD practices

• Ensure data privacy, security, compliance, and governance (SOC2, GDPR, ISO, etc.)

across the product

• Take ownership of application security, access controls, and compliance

requirements

• Actively contribute hands-on through coding, code reviews, complex feature development and architectural POCs

• Mentor and guide engineering teams, setting best practices for coding, testing, and

system design

• Work closely with Product Management and Leadership to translate business

requirements into technical solutions

Qualifications:

• 10–15 years of overall experience in software engineering and product

development

• Strong experience building B2B SaaS products at scale

• Proven expertise in system architecture, design patterns, and distributed systems

• Hands-on experience with cloud platforms (Azure, AWS/GCP)

• Solid background in backend technologies (Python/ .NET / Node.js / Java) and

modern frontend frameworks like (React, JS, etc.)

• Experience working with AI/ML teams in deploying and tuning ML models into production

environments

• Strong understanding of data security, privacy, and compliance frameworks

• Experience with microservices, APIs, containers, Kubernetes, and cloud-native

architectures

• Strong working knowledge of CI/CD pipelines, DevOps, and infrastructure as code

• Excellent communication and leadership skills with the ability to work cross-

functionally

• Experience in AI-first or data-intensive SaaS platforms

• Exposure to MLOps frameworks and model lifecycle management

• Experience with multi-tenant SaaS security models

• Prior experience in product-based companies or startups

Why Join Us

• Build cutting-edge AI-powered B2B SaaS products

• Own architecture and technology decisions end-to-end

• Work with highly skilled ML and Full Stack teams

• Be part of a fast-growing, innovation-driven product organization

If you are a results-driven Technical Lead with a passion for developing innovative products that drives business growth, we invite you to join our dynamic team at ProductNova.

Recruiterflow is an AI-first RecOps platform built for ambitious recruiting agencies. We offer an integrated ATS & CRM with powerful automation features to streamline recruiting operations. Our mission is to transform how recruiting agencies function by turning hiring into a structured sales process—helping them close roles faster, engage top talent better, and scale with confidence. We’re already among the top 5 players in the industry, and our next milestone is to break into the top 3 within the next three years.

Key responsibilities:

• Research, ideate and develop long-form and short-form content such as articles, blogs, white papers, case studies, press communication, thought-leadership insights, marketing campaigns and collateral.
• Develop a content calendar and manage content generation targets in line with the organisation wide content strategy.
• Deliver content for various stages of the Buyer’s Journey – TOFU, MOFU and BOFU
• Help the marketing team to devise and execute the marketing activities by providing content for social media, nurture campaigns, videos, etc.
• Build and own Reddit as a distribution channel for brand content
• Ensure all content is in line with SEO standards and practices.
• Quality check the content to ensure it is free of grammatical or factual errors and follows all brand editorial guidelines for consistency.
• Ensure targeted delivery of content and meet predefined organic KRAs.

Ideal Candidate:

• 4+ years of overall writing experience, including at least 2 years specifically in B2B content writing or as a SaaS content writer.
• Strong verbal and written communication skills.
• Excellent copywriting skills.
• Exceptional ideation, research, and writing abilities.
• Ability to work under tight deadlines.
• Hustler attitude to work

Dear Candidate, 

Greetings from INFOMATICS CORP!!!

We are looking for an ambitious Python Developer who can join us Immediately or by 15- 30 Days.

Responsibilities:

1. Relevant Experience required 3 to 5 years.
2. Strong proficiency in python programming language along with expertise in backend development framework such as
3. Django or Flask. (DSA and Design patterns are mandatory).
4. Hand on Experience in REST API development and database such as PostgreSQL.
5. Good knowledge of versions control systems like GIT, Bitbucket
6. Implementation testing strategies such as unit testing (PyTest), integration testing and end to end testing 
7. Basic knowledge of Docker/Podman and Jenkins.

g.      Good have if they basic knowledge in Mainframe tech such JCL, and TWs.

If you are interested in this position, share the below details and kindly attach your resume. 

Current location- 

Ready to relocate to Bangalore (Yes/No)- 

Official Notice period - 

Serving Notice period (If yes, Mention LWD)-

Total years of experience in IT - 

Experience in Python Development - 

Experience in Django/Flask- 

Experience in Pytest/ Unit test- 

Current CTC- 

Expected CTC- 

PF Account (Yes/No)- 

We are an IT recruitment service provider based out of Gurgaon. We are partners with various established names like Wipro, Aon, Infinite Computer Solutions, IBM, TCS, Fiserv, Accenture, and many more.

As discussed, Please find the Job Description for the position of Salesforce Project Manager. 

JD for Salesforce Tech Lead 

Exp level: 7+ yrs.

Location: Pune, Bangalore, Hyderabad, Chennai, Jaipur

NP: Immediate to 15 days

Skills :

Salesforce developer, LWC, Rest API, Lead experience

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

F5 is looking for a Sr. Security Engineer with experience in building, integrating, operating, and maintaining robust security monitoring and auditing systems. F5’s Edge 2.0 platform provides global, scalable, and secure way to deploy applications. In this position, you will build and maintain monitoring and audit systems across the platform that provide necessary visibility and alerts to effectively defend the platform.

Responsibilities:

• Collaborate with software architects, security defenders, Operations, SRE, compliance experts, and business leaders to understand the logical boundaries of the systems and identify the events to monitor, audits to maintain, alerts to tweak, as well as systems to integrate with
• You will continuously hunt for areas and metrics to be added into monitoring systems for better operational visibility, incident response capability, availability, and forensics capability of the overall platform
• You will participate in the definition of processes around change and inventory management and develop solutions to audit the changes
• You will work with other teams within security organization to define communication and alerting protocols for effective and timely actions
• You will participate in defining and executing the Incident Response Plan for the platform and be responsible for providing necessary information during the response and forensics
• Demonstrate technical leadership in multiple domain areas, providing mentorship to other team members

Minimum qualifications:

• BS degree in Computer Science or equivalent with 5+ years of security operation and monitoring experience
• Experience with logging, monitoring, SIEM, dashboarding tools like AWS GuardDuty, Sumo, Grafana, SolarWinds, DataDog, Splunk, etc.
• Working knowledge of at least one Cloud Computing platform (e.g. Amazon AWS, Microsoft Azure, Google Compute etc.)
• Good understanding of how to handle logs from various systems, integrate with systems handling logs and metrics, how to setup and tune alerts based on thresholds and policies
• Hands on experience with computer programming languages and/or scripting languages such as Python, Java, Shell
• Good understanding of complexities and security challenges in large-scale distributed systems
• Working knowledge of Cloud orchestration systems such as Kubernetes, Openstack etc.
• Self-motivated and willing to delve into new areas and take on new challenges in an enthusiastic manner
• Excellent written and verbal communication skills
• Strong interpersonal, team building, and mentoring skills