MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).  

We are looking for a Principal Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in Bengaluru, Mumbai or Gurugram  near an airport that will enable them to easily visit customer sites in APAC.

This role can be based remotely in Bengaluru, Mumbai or Gurugram.

Roles Responsibilities

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
• Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 426250

We like to say, “Come to MongoDB and get your Masters in Sales” where we spend 7x the industry average on rep enablement. We’re investing in ways to not only attract, hire, and develop top talent but also ensure our Account Executives are set up for long-term success on their individual career paths.

Come & join our team and be at the forefront of what we believe is the perfect blend of career opportunity, innovative technology, and top-tier enablement! 

We are looking to speak to candidates who are based in the Bengaluru, Gurugram or Mumbai office for our hybrid working model.

The Opportunity

We’re looking for reps that are hungry to sell into the next up-and-coming companies in India that are disruptive within their respective industries. We have over 200M downloads and work with innovative corporate companies like Zepto, Ubuy, SonyLIV, Zomato, Canara HSBC Life and others that are leveraging our technology every single day. 

According to the IDC, there are over 500 million new applications being built over the next 5 years and you would be tasked with landing a high volume of those quality new logos. 

Primarily selling the MongoDB Atlas platform, the most advanced cloud database service on the market, you have the opportunity to directly influence MongoDB’s upward growth trajectory.

Day to Day

• Cultivate sales through outbound prospecting and inbound leads
• Meeting customers in-field and closing deals 
• Prospect into CTOs, Engineering/IT leaders, and technical end users
• Meet and exceed individual monthly, quarterly, and annual Quarterly targets
• Manage the full sales cycle for both Atlas and Professional Services
• Manage a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach
• Handle quote creation and order processing
• Collaborate with the Sales ecosystem like Marketing, Account Development, Solutions Architects, and others.

What you bring to the table

• 5 years to 20 years of experience in a full sales cycle role (we have different roles for varying levels of experience)
• Bachelors in Engineering/Bachelor of Technology preferred
• Experience working with Strategic/Named/Enterprise Accounts, Government and PSU customers or Digital Natives/Startups
• Demonstrated ability to open new accounts and run a complex sales process
• Familiarity with software, database, infrastructure, or open source technology a plus (NOT a pre-requisite)
• Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer)
• Excellent presentation, verbal, and written communication skills
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales) a plus

Why You Should Apply

• As we move toward an AI-driven era by 2030, MongoDB is uniquely positioned to power modern AI applications with the flexibility and scale required to manage unstructured data.
• We are leading the charge when it comes to the intersection of product-led growth and sales-led execution
• Great earning potential 
• Restricted stock options for new hires and a competitive Employee Stock Purchasing Program 
• Welcoming and inclusive workplace - Meet MongoDB’s Employee Affinity Groups! Find out more here.
• Continuous career development
• Sales training in MEDDPICC and Command of the Message
• MongoDB Onboarding Sales Bootcamp
• Internal mentor and buddy programs

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Job Title: Lead .NET Developer 

Location: Open to any Orion Innovation office - Mumbai/Pune/Kochi/Hyderabad/Chennai/Coimbatore/Kochi

Work type: Hybrid (12 days in office required)

Mandatory Skills & Experience

• Strong experience with C# / .NET writing high-quality code with test coverage.
• Testing methodologies such as test-driven development or playwright.
• Proven experience as a technical lead within a delivery team
• Leading lower-level architectural and design decisions and setting engineering standards
• Performing code-reviews and ensuring maintainable and secure code
• Driving best practices for API design, data access and security
• Collaborating with product, platform, security, and architecture stakeholders
• Ownership of OAuth2/OIDC flow selection and standardization, with clear authorization strategies
• Strong EF experience, including schema migrations across both SQL and NoSQL
• Experience building solutions on Azure
• Writing unit and integration tests; using mocking frameworks
• Strong understanding of SOLID principles and clean code practices
• Experience working with CI/CD pipelines (ideally Azure DevOps)
• Comfortable working in an Agile delivery environment

Nice to Have

• Defining and evolving CI/CD standards across teams
• Deep hands‑on experience with Terraform on Azure
• Ownership of test strategy (unit, integration, contract, automation)

Job Title: Lead Front End Developer
Location: Pune/ Mumbai/ Chennai/ Coimbatore/ Hyderabad/Kochi
Hybrid role (12 days in office)

Proven experience providing technical leadership within a delivery team, including mentoring developers and guiding front‑end design decisions
Setting and enforcing engineering standards, best practices, and quality gates for Angular codebases
Performing and leading code reviews, ensuring readability, performance, accessibility, and security of front‑end code
Good understanding of Git version control and branching strategies, using GitHub and/or Azure DevOps
Solid experiencing building Angular applications for production, including bundling, optimisation, minification, tree‑shaking, and build configuration etc.
Strong front‑end development experience using Angular and TypeScript (mandatory), building maintainable, testable, and performant UI applications
Experience implementing unit, integration, and end‑to‑end tests for Angular applications (e.g. Jasmine/Karma, Jest, Playwright)
Solid understanding of modern front‑end architecture patterns, state management, and component design
Experience working closely with back‑end, product, UX, and platform teams to deliver cohesive user experiences

Nice to have

Experience developing and deploying Angular applications in Microsoft Azure environments (e.g. CI/CD, App Services)

Location - Navi Mumbai, India

Position Summary

We are seeking a highly skilled Infrastructure Security Engineer-L2 (Palo Alto & NGFW) responsible for implementation, administration, and support of Palo Alto Next-Generation Firewalls (NGFW) across enterprise and cloud environments. The role involves handling day-to-day operations, incident management, troubleshooting, and TAC coordination, along with contributing to firewall migrations and security enhancements. The engineer will play a key role in maintaining secure and stable network infrastructure for critical business operations.

Key Responsibilities

• Provide L2 support for Palo Alto NGFW environments, including incident handling, troubleshooting, and resolution.
• Manage day-to-day firewall operations, including policy changes, NAT configurations, and VPN management.
• Perform advanced troubleshooting for network and security issues across on-prem and cloud environments (AWS, Azure, GCP, OCI).
• Handle TAC coordination with vendors for critical and complex issues.
• Configure and manage:
• IPSec VPNs, Remote Access VPNs, and Clientless VPNs
• Security policies, NAT rules, and ACLs
• Work on Palo Alto Panorama for centralized management, including templates, log collectors, and policy deployment.
• Implement and support Next-Generation Firewall features such as:
• Threat Prevention
• URL Filtering
• Content Filtering
• Data Loss Prevention (DLP)
• User-ID
• Participate in and execute firewall migration projects (e.g., Cisco ASA to Palo Alto).
• Support IDS/IPS administration and monitoring, including performance tuning and alert handling.
• Perform change management activities in line with ITIL processes.
• Prepare and maintain technical documentation including HLD, LLD, SOPs, and knowledge base articles.
• Conduct security assessments, gap analysis, and recommend improvements in security architecture.
• Collaborate with L3 teams and stakeholders for design improvements and complex issue resolution.
• Provide inputs for network security strategy, transformation projects, and infrastructure planning.

Technical Skills

• Strong hands-on experience with Palo Alto NGFW (PAN-OS) and its advanced features.
• Working knowledge of Palo Alto Panorama (templates, device groups, log collectors).
• Experience with Cisco ASA firewalls and firewall migration projects.
• Strong understanding of:
• Network Security concepts
• OSI Model & TCP/IP protocols
• Routing & Switching fundamentals
• Expertise in:
• IPSec VPN configuration & troubleshooting
• NAT, ACLs, and security policy management
• Exposure to cloud security networking in:
• AWS
• Azure
• GCP
• OCI
• Knowledge of IDS/IPS systems and threat prevention mechanisms.

Basic Qualifications

• Bachelor’s degree in Engineering (B.E./B.Tech – CSE, IT, ECE) or MCA / M.Sc (Computer Science).
• Minimum 5+ years of experience in network security and firewall management.
• Hands-on experience in Palo Alto firewall administration and troubleshooting.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• PCNSE (Palo Alto Networks Certified Network Security Engineer) certification.
• CCNP Security or equivalent certification.
• Experience in enterprise datacentre and cloud security deployments.

Title: ITS Engineer (Application Packaging)

Location: Andheri (East), Mumbai

Reports to: Service Director

ABOUT US 

Agilisys is at the forefront of digital transformation and innovation in the public services sector. With over two decades of experience, we have established ourselves as a trusted partner for governments, local authorities, and organisations nationwide. Our mission is to empower our clients to deliver exceptional public services by harnessing the full potential of technology and data. 

OUR VALUES 

Partnership: we become one team and family with organisations, helping them to navigate change and stay agile. 

Integrity: our people really care, going beyond the brief to make change happen for organisations and citizens. 

Innovation: we bring together the right technologies and services to design solutions that work. 

Passion: we are passionate about – and dedicated to – public services and improving people’s lives. 

THE ROLE:

We are hiring a High-Agency Engineer to transform legacy endpoint management into a high-velocity, AI-augmented operation. Joining our Center of Excellence (CoE), you won't just maintain system, you will leverage GenAI and PowerShell to automate the intersection of Application Packaging, Cloud Deployment (Intune/SCCM), and Vulnerability Management.

ABOUT YOU:

Must-Have's

• 4+ years of hands-on experience with SCCM, Microsoft Intune, InstallShield, and ORCA for application packaging and deployment.
• Strong experience with VBScript and advanced PowerShell scripting, along with a solid understanding of Windows Registry and File System internals.
• 3+ years of experience in vulnerability management, including patch lifecycle management using tools such as WSUS, Active Directory, and endpoint security solutions.
• Demonstrated ability to manage application packaging, deployment, and remediation processes in enterprise environments.
• A strong AI-first mindset, with experience leveraging Generative AI tools to improve efficiency in triage, packaging, testing, deployment, and operational tasks.
• Hands-on experience using GenAI or automation tools to streamline application packaging, testing, deployment, and vulnerability remediation workflows.

Desired Skills

• Microsoft or vendor certifications (Intune, SCCM, Windows, Azure, ITIL).
• Experience supporting UK/regulated clients.

Who You Are 

• Behaviours & Mindset: We will hire, assess, and manage you on behaviours as much as technical skills.
• High Agency: You solve problems before they’re reported.
• Ownership: You deliver end-to-end outcomes, not just closed tickets.
• Outcome-Driven: You obsess over metrics like Patch Hygiene and Zero-Rework.
• Communicator: You can explain complex technical risks to UK-based stakeholders with ease. Clear, structured, empathetic updates across tech and business audiences.
• Collaboration – Support others, adapt under pressure, maintain team morale.

PROCESS 

Simply submit your CV. We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. Please note that our roles are primarily office based, with modern and well-connected office locations in Andheri East. 

By submitting your CV, you understand that we have a legitimate interest to use your personal data for the purposes of assessing your eligibility for this role. This means that we may use your personal data to contact you to discuss your CV or arrange an interview or transfer your CV to the hiring manager(s) of the role you have applied for. You can ask us at any time to remove your CV from our database by emailing talentacquisition@agilisys.co.uk – but please note that this means we will no longer consider you for the role you have applied for. 

We have a rigorous recruitment process, which we use for all our roles to ensure we attract the very best talent. 

Agilisys is committed to building a diverse and inclusive workforce and encourages applications from all backgrounds. 

#LI-PS1

Title: ITS Engineer (Application Packaging)

Location: Andheri (East), Mumbai

Reports to: Service Director

ABOUT BLENHEIM CHALCOT:

As part of the Blenheim Chalcot portfolio, we benefit from the expertise, infrastructure, and scale of the leading global venture builder. With over 25 years of experience creating and growing SaaS businesses powered by Generative AI, Blenheim Chalcot has built 60+ ventures across sectors such as financial services, education, health, and marketing. Our global ecosystem—including Scale Space in London, the Rajasthan Royals in Mumbai, and a go-to-market base in Austin—enables us to access world-class talent, tools, and support to accelerate our growth and build a market-leading business.

THE ROLE:

We are hiring a High-Agency Engineer to transform legacy endpoint management into a high-velocity, AI-augmented operation. Joining our Center of Excellence (CoE), you won't just maintain system, you will leverage GenAI and PowerShell to automate the intersection of Application Packaging, Cloud Deployment (Intune/SCCM), and Vulnerability Management.

ABOUT YOU:

Must-Have's

• 4+ years of hands-on experience with SCCM, Microsoft Intune, InstallShield, and ORCA for application packaging and deployment.
• Strong experience with VBScript and advanced PowerShell scripting, along with a solid understanding of Windows Registry and File System internals.
• 3+ years of experience in vulnerability management, including patch lifecycle management using tools such as WSUS, Active Directory, and endpoint security solutions.
• Demonstrated ability to manage application packaging, deployment, and remediation processes in enterprise environments.
• A strong AI-first mindset, with experience leveraging Generative AI tools to improve efficiency in triage, packaging, testing, deployment, and operational tasks.
• Hands-on experience using GenAI or automation tools to streamline application packaging, testing, deployment, and vulnerability remediation workflows.

Desired Skills

• Microsoft or vendor certifications (Intune, SCCM, Windows, Azure, ITIL).
• Experience supporting UK/regulated clients.

Who You Are 

• Behaviours & Mindset: We will hire, assess, and manage you on behaviours as much as technical skills.
• High Agency: You solve problems before they’re reported.
• Ownership: You deliver end-to-end outcomes, not just closed tickets.
• Outcome-Driven: You obsess over metrics like Patch Hygiene and Zero-Rework.
• Communicator: You can explain complex technical risks to UK-based stakeholders with ease. Clear, structured, empathetic updates across tech and business audiences.
• Collaboration – Support others, adapt under pressure, maintain team morale.

PROCESS:

Process - We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. Please note that our roles are primarily office based, with modern and well-connected office location in Andheri East.

Blenheim Chalcot is a proud Equal Opportunity Employer. Diversity is one of our core values, thus making it core to our business. We strive to maximize the diversity of our workforce and welcome applications from everyone. We encourage diversity through perspective, background, identity, and thought whilst also fostering an environment where everyone can express themselves regardless of your race, religion, sex, gender, colour, national origin, disability, or any other applicable legally protected characteristic. We are committed to continuing to nurture an inclusive environment and building a diverse workforce.

#LI-PS1

We are hiring Senior / Lead Engineers to design, build, and scale robust, production-grade data and platform systems for a product portfolio within Blenheim. This is a hands-on engineering role where you will own complex problem areas end-to-end, influence system architecture, mentor engineers, and deliver scalable solutions in a fast-growing, product-led environment.

If you enjoy working with ambiguity, building platforms from the ground up, and shipping real business impact, we’d love to hear from you.

About Blenheim Chalcot:

Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million.

The Role:

As a Senior / Lead Engineer, you will play a key role in designing and delivering scalable systems across core platforms. You will collaborate closely with Product, Data, and Engineering teams in Mumbai and London, helping shape technical direction while remaining hands-on.

Key Responsibilities:

Successful candidates will take a leading role within our Engineering Centre of Excellence in Mumbai, with day to day responsibilities which will include.

• Lead and mentor a team of engineers, fostering a culture of collaboration and continuous improvement.
• Oversee the planning and execution of projects, ensuring alignment with business objectives and timelines.
• Provide technical guidance and expertise to the team, promoting best practices in engineering.
• Collaborate with cross-functional teams to understand requirements and deliver effective solutions.
• Implement and maintain ELT (Extract, Load, Transform) processes using scalable pipelines and data architecture.
• Ensure data integrity and quality across various data sources.
• Support data-driven decision-making by providing clean, reliable, and timely data.
• Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data.
• Conduct exploratory data analysis to uncover patterns and trends.
• Identify opportunities for process improvement and drive continuous improvement in operations.
• Stay updated on industry trends, technologies, and best practices in engineering.

About You:

We are seeking to onboard candidates with a track record of leading complex delivery, demonstrating technical depth and pragmatic leadership. You’re hands‑on when it matters, coach others effectively, and make clear design trade‑offs that improve customer and business outcomes. You communicate crisply, collaborate across functions, and keep teams focused on the few things that move the needle.

The Ideal Candidate:

• Professional experience in full-stack software engineering with evidence of architecting and delivering production systems at scale.
• Proven experience mentoring and developing engineers and raising code quality standards.
• Strong proficiency in one or more programming languages commonly used in engineering, such as Python or Java.
• Extensive experience with database systems, including SQL and NoSQL databases.
• In-depth knowledge of cloud data platforms like AWS or Azure (e.g., S3, Redshift, Glue, Data Factory, Azure Synapse, etc.).
• Experience with CI/CD practices for data solutions.
• Experience leveraging AI tools (GitHub Copilot, Claude etc) and building AI-enabled features (e.g., LLMs, automation workflows, prompt engineering, AI-assisted development) to enhance product capabilities and engineering productivity.
• Proven ability to take ownership over outputs and drive complex data projects to completion.
• Highly adaptable and comfortable working in ambiguous, problem-solving environments.
• Strong evidence of teamwork and successful cross-functional delivery; including particularly with customers, Product, Marketing, and Sales.
• Excellent communication, leadership, and collaboration skills.
  

Behaviours that we look for 

• Rigorous problem-solving and systems thinking. Breaks down complex problems, evaluates multiple approaches, and designs scalable, maintainable architectures.
• Clean, performant, and secure code. Chooses suitable data structures, writes readable & defensive code, and bakes in performance and security from the start.
• Test-first and observable engineering. Designs for testability, automates meaningful unit/integration tests, and implements robust logging, metrics, and monitoring.
• Production and operations excellence. Understands CI/CD, infrastructure and cost drivers, engineers for reliable development, resilience, and fast recovery.
• Data-driven, outcome-focused decisions. Validates ideas with data, plans for schema evaluation, and aligns features with real user impact.

Process - We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. This process starts with a 15-minute call with our Talent Acquisition team and a member of the Engineering Centre of Excellence, followed by further interviews with the Engineering Centre of Excellence team.

Please note that our roles are primarily office based, with modern and well-connected office locations in both Andheri East and Navi Mumbai.

#LI-PS1

About the Role

NICE is seeking a talented AI Engineer to accelerate innovation across the APAC region by leading AI-centric Proof of Concepts (POCs) and Pilots alongside our extended solution and sales engineering teams. This role sits at the intersection of cutting-edge AI development and customer-facing technical delivery, with a special focus on Agentic AI solutions that push the boundaries of what is possible with intelligent automation and large language models.

The AI Engineer will work hands-on to design, build, and demonstrate AI-powered solutions, translating complex technical capabilities into tangible business value for customers across APAC.

How will you make an impact?

Agentic AI POCs & Pilots

• Design and build Agentic AI proofs of concept

     Architect and develop end-to-end Agentic AI solutions demonstrating autonomous decision-making, multi-step reasoning, and task orchestration across APAC customer engagements.

• Prototype rapidly

     Build lightweight, demonstrable prototypes using LLMs, agent frameworks, and NICE /Cognigy platform APIs to showcase the art of the possible.

Development & Engineering

• Develop and integrate APIs, webhooks, and microservices connecting LLMs and AI models to enterprise platforms and CX workflows.
• Build and maintain reusable AI accelerator assets, code templates, and demo environments for the extended APAC team.
• Implement prompt engineering strategies, RAG pipelines, and agent orchestration frameworks LLM & AI Model Expertise
• Apply knowledge of large language models (GPT-4, Claude, Gemini, Llama, etc.) to design appropriate solutions for customer use cases.
• Evaluate and select the right model, fine-tuning approach, or retrieval strategy for each POC based on accuracy, latency, and cost requirements.
• Stay current with the rapidly evolving LLM ecosystem including model releases, agent frameworks, and emerging AI tooling.

Collaboration & Knowledge Sharing

• Contribute to internal playbooks, documentation, and demo libraries to uplift the broader team’s AI capabilities.
• Engage with customers directly to understand requirements and translate them into practical AI solution designs.

Have you got what it takes?

• Bachelor’s degree in computer science, Software Engineering, or a related field or equivalent experience.
• 4-8 years of software development experience in developing high performance, highly available and scalable enterprise-grade software products that can perform, scale, and integrate into a broad enterprise ecosystem.

Programming proficiency:

.

• Experience with REST APIs, JSON, cloud SDKs
• Familiarity with data processing, vector databases and embedding pipelines for RAG architecture.
• Ability to debug, iterate quickly, and deliver working demos under tight timelines.

AI & Machine Learning Understanding

• Solid conceptual and practical understanding of machine learning fundamentals, NLP/NLU, and generative AI.
• Experience designing or building Agentic AI systems — including tool use, memory, planning, and multi-agent coordination.
• Understanding of responsible AI practices, hallucination mitigation, and evaluation methodologies for LLM outputs.

LLM Usage & Prompt Engineering

• Proficient with LLM APIs     including OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, and open-source models via Hugging Face or Ollama.
• Strong prompt engineering skills: few-shot prompting, chain-of-thought, structured outputs, and system prompt design.

Version Control & Collaboration Tools

• GitHub / Git proficiency:

     Comfortable with branching strategies, pull requests, code reviews, and collaborative development workflows.

• Ability to manage, share, and version AI demo assets and code in shared repositories accessible to the extended team.
• Experience with CI/CD basics and familiarity with tools such as GitHub Actions, or similar pipelines, is advantageous.

.

You will have an advantage if you also have:

• Experience with NICE CXone, Cognigy (conversational AI & agent orchestration platform), or similar CCaaS / conversational AI platforms.
• Knowledge of the APAC technology landscape and experience working with enterprise customers in the region.
• Background in contact centre, CX, or enterprise SaaS environments.
• Exposure to voice AI, speech-to-text/text-to-speech pipelines, or real-time AI in contact Centre contexts.

What’s in it for You?

Join an ever-growing, market-disrupting, global company where teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate about AI, innovative at heart, and excited to constantly raise the bar on what intelligent technology can do, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10692                

Reporting into: Director,Solution Engineering

Job Overview:

We are seeking a Senior AI Solution Architect with deep expertise in Artificial Intelligence (AI) and Generative AI (GenAI) to drive solution design, pre-sales engagements, and client delivery. The ideal candidate combines technical excellence with strong business acumen, enabling them to design innovative solutions, craft compelling sales collateral, and confidently engage with executive stakeholders. This role requires proven experience leading teams, shaping solution strategy, and responding to complex RFPs in enterprise environments

Key Responsibilities:

• Lead RFP/RFI responses with strong technical and business narratives.
• Design solution proposals, demos, and workshops with sales teams.
• Build sales assets such as whitepapers, PoV decks, and blueprints.
• Engage C-suite leaders to evangelize AI/GenAI solutions.
• Define end-to-end AI/GenAI architectures (RAG, multi-agent, pipelines, governance, observability).
• Translate business needs into scalable, secure, and compliant AI solutions.
• Ensure smooth design-to-delivery with engineering teams.
• Establish frameworks for AI governance and responsible AI.
• Mentor architects, data scientists, and engineers.
• Drive knowledge sharing through playbooks, accelerators, and best practices.
• Collaborate with cloud, data, security, and domain SMEs for integrated solutions.

Key Skills

• 10+ years of experience in solution architecture, AI/ML, or data platforms, with at least 3–5 years in AI/GenAI initiatives.
• Demonstrated pre-sales experience: RFP responses, PoVs, workshops, and deal support.
• Strong portfolio of sales/marketing assets (whitepapers, solution blueprints, reference architectures).
• Hands-on expertise with AI/GenAI stacks (e.g., LangChain/LangGraph, CrewAI, OpenAI, Anthropic, Azure AI, AWS Bedrock, Databricks).
• Understanding of AI governance and compliance frameworks (EU AI Act, NIST AI RMF, ISO 42001, Microsoft RAI Maturity Model).
• Proven team leadership experience, including mentoring and managing architects/engineers.
• Excellent communication, presentation, and client-facing skills.

Role Overview:

We are looking for a hands-on Product Architect / Engineer to design and build an AI-driven operations platform focused on intelligent automation, insights, and optimization across cloud, network, and application operations.This role blends product thinking, architecture, and deep engineering across AI/ML and Agentic AI systems.

Key Responsibilities:

• Architect and build the agentic AI platform leveraging AI, ML, and Agentic AI frameworks
• Design multi-agent systems for use cases for operations domains like Cloud Ops, NetworkOps, ServiceDesk, root cause analysis, anomaly detection, and predictive insights
• Develop data pipelines and telemetry fabric for ingesting and processing large-scale operational data (logs, metrics, traces, topology)
• Build and integrate LLM-powered copilots and autonomous agents for operations 
• Define product architecture, including microservices, APIs, event-driven systems, and scalable cloud-native patterns
• Translate business needs into AI-driven product features and accelerators
• Collaborate with product, operations, and engineering teams to deliver end-to-end capabilities

Key Skills:

• Strong experience in product architecture and full-stack engineering
• Hands-on expertise in:
• AI/ML (model development, inference, MLOps)
• LLMs and Agentic AI frameworks (multi-agent orchestration, reasoning systems)
• Data engineering (streaming, batch, real-time analytics)
• Proficiency in Python and modern frameworks
• Experience with cloud platforms (AWS, Azure) and cloud-native architecture
• Agent framework experience – Microsoft agent framework, langgraph and langchain.
• Strong understanding of:
• Observability systems (logs, metrics, traces)
• AIOps / IT operations platforms
• API design and microservices architecture
• Familiarity with vector databases, embeddings, RAG architectures, and knowledge graphs

Good to Have:

• Experience building autonomous AI agents for IT/network/application operations
• Exposure to FinOps, Cloud Cost Optimization,
• Knowledge of network topology, infrastructure ops, or ITSM tools
• Experience with real-time decisioning systems and event correlation engines

FEQ427R107

As a Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems

Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.

This is a Hybrid role, based in Mumbai. 

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. 
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• 8+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Strong consulting / customer facing experience , working with external clients across a variety of industry markets
• Coding experience in Python, R, Java, Apache Spark™ or Scala
• Experience building distributed data systems
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Available to travel to customers in your region
• Nice to have: Databricks Certification

The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

• Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

• Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

• Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
• Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
• Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
• Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

• Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
• Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
• Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

• Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

• Languages: Python (Expert).
• AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
• Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

About the role: 

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. 

Required skills

• 8 + years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
• 1+ year of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
• Expert in architecting GenAI applications/systems using various frameworks & cloud services
• Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Experience in driving the engineering team toward a technical roadmap.
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

• Build the technical roadmap given a business requirement and own the delivery of the same.
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. 
• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Education

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.

SUMMARY

As a Solutions Engineer, you will be responsible for supporting our enterprise customers, reporting to the regional Director, Solutions Engineering. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution. 

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards,  product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meet-ups, and industry events.

WHAT YOU’LL BRING

• Ability to deliver world class demonstrations and training experience to our channel customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting partners to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
• Ability to travel
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

Integrations (API) Engineer – Data Platform

Experience- 4-6 years

Location- Kochi, Chennai, Coimbatore, Mumbai, Pune

We are seeking an Integrations (API) Engineer to design, build, and manage APIs that expose data products from the data platform to downstream applications.

This role is responsible for ensuring that data is delivered reliably, securely, and in a way that is consumable by applications, acting as the bridge between the data platform and consuming systems.

Role Purpose

• Enable Data as a Service (DaaS) through well-designed APIs
• Ensure data products are consumable, performant, and reliable
• Act as the interface between data engineering and application teams

🔧 Key Responsibilities

API Design & Development

• Design and build APIs that expose data products
• Define:
• Endpoints
• Request/response structures
• Payload formats
• Ensure APIs align with data contracts and product definitions

Integration with Data Platform

• Partner with Data Engineers to consume curated datasets correctly and avoid duplicating transformation logic already handled upstream

• Ensure data delivered through APIs is governed, accurate, and fit for purpose

Consumer Integration Support

• Work closely with downstream teams (e.g. EQCR application team) to support onboarding, clarify API usage, and resolve integration issues

Performance & Reliability

• Meet agreed performance benchmarks and SLAs

• Own error handling, logging, and monitoring for all API surfaces

Security & Access Control

• Implement authentication, authorisation, and data access controls

• Ensure APIs comply with data security, governance, and regulatory standards

API Lifecycle Management

• Version APIs appropriately and manage change, deprecation, and backward compatibility

• Maintain clear, up-to-date documentation for all published APIs

Key Deliverables

• Production-ready APIs exposing governed data products
• API documentation covering endpoints, schemas, and usage patterns
• Integration support and onboarding for consuming applications

• Monitoring and alerting covering API performance and availability

Key Interfaces

• Data Engineers → source of curated datasets
• Data Product Manager → API requirements and use cases
• Data Consultant → data definitions, lineage, and rules
• Application Teams → API consumers
• Architecture → standards and patterns

Experience Required

• 4–8+ years in API development or integration engineering
• Strong hands-on experience with REST APIs, JSON, and data contract design
• Experience with Swagger, OpenAPI specification
• Experience of Azure API Gateway, Fast API, Azure Container Apps, Azure functions
• Proven experience integrating with data platforms or complex backend systems
• Solid understanding of API security patterns (OAuth 2.0, token-based auth, Managed Identities)

• Comfortable working across cross-functional teams in a fast-paced delivery environment

Nice to Have

• Experience in data platform environments (lakehouse, etc.)
• Experience in regulated environments
• Familiarity with event-driven architectures

Integrations (API) Engineer – Data Platform

Experience- 4-6 years

Location- Kochi, Chennai, Coimbatore, Mumbai, Pune

We are seeking an Integrations (API) Engineer to design, build, and manage APIs that expose data products from the data platform to downstream applications.

This role is responsible for ensuring that data is delivered reliably, securely, and in a way that is consumable by applications, acting as the bridge between the data platform and consuming systems.

Role Purpose

• Enable Data as a Service (DaaS) through well-designed APIs
• Ensure data products are consumable, performant, and reliable
• Act as the interface between data engineering and application teams

🔧 Key Responsibilities

API Design & Development

• Design and build APIs that expose data products
• Define:
• Endpoints
• Request/response structures
• Payload formats
• Ensure APIs align with data contracts and product definitions

Integration with Data Platform

• Partner with Data Engineers to consume curated datasets correctly and avoid duplicating transformation logic already handled upstream

• Ensure data delivered through APIs is governed, accurate, and fit for purpose

Consumer Integration Support

• Work closely with downstream teams (e.g. EQCR application team) to support onboarding, clarify API usage, and resolve integration issues

Performance & Reliability

• Meet agreed performance benchmarks and SLAs

• Own error handling, logging, and monitoring for all API surfaces

Security & Access Control

• Implement authentication, authorisation, and data access controls

• Ensure APIs comply with data security, governance, and regulatory standards

API Lifecycle Management

• Version APIs appropriately and manage change, deprecation, and backward compatibility

• Maintain clear, up-to-date documentation for all published APIs

Key Deliverables

• Production-ready APIs exposing governed data products
• API documentation covering endpoints, schemas, and usage patterns
• Integration support and onboarding for consuming applications

• Monitoring and alerting covering API performance and availability

Key Interfaces

• Data Engineers → source of curated datasets
• Data Product Manager → API requirements and use cases
• Data Consultant → data definitions, lineage, and rules
• Application Teams → API consumers
• Architecture → standards and patterns

Experience Required

• 4–8+ years in API development or integration engineering
• Strong hands-on experience with REST APIs, JSON, and data contract design
• Experience with Swagger, OpenAPI specification
• Experience of Azure API Gateway, Fast API, Azure Container Apps, Azure functions
• Proven experience integrating with data platforms or complex backend systems
• Solid understanding of API security patterns (OAuth 2.0, token-based auth, Managed Identities)

• Comfortable working across cross-functional teams in a fast-paced delivery environment

Nice to Have

• Experience in data platform environments (lakehouse, etc.)
• Experience in regulated environments
• Familiarity with event-driven architectures

Head of Quality Engineering to lead and scale our QA function in India (Relocation to Noida required) 

 This is a pivotal leadership role within our Engineering and Technology team, requiring a unique blend of strategic foresight, commercial awareness, and hands-on technical expertise. 

The ideal candidate is not just a manager but a leader and coach—someone who can recruit and build a high-performing team from the ground up while maintaining involvement in projects and automation. You will be the driving force behind our continued AI Transformation in QA in the region and, ensure our technical capabilities are always one step ahead of business demand. 

This role offers relocation to Noida, its important that you are happy to relocate to Noida and our team will support your relocation 

What you’ll be doing: 

Leadership, Team Development & Future-Readiness 

• Build & Scale: Recruit top-tier QA talent to build the India team. Manage high-volume, high-pressure hiring cycles and  a establish QA Automation hub. 

• Future-Proofing the Workforce: Collaborate closely with Sales and Business Development teams to understand the sales pipeline and emerging market trends. Translate these insights into training roadmaps to ensure the team is "project-ready" for next-generation work before it arrives. 

• Talent Development: Follow and contribury to global engineering career progression frameworks. Foster a culture of continuous learning by coordinating training programs, onboarding graduates, and personally coaching team members. 

• Global Collaboration: Act as the primary liaison for the India region within our global community of QA leaders, ensuring alignment with global standards while addressing local operational needs. 

• Employee Wellbeing: Balance the drive for high performance with a deep commitment to team wellbeing, proactively managing signs of burnout and ensuring a healthy, sustainable work-life balance for your staff. 

 
AI Transformation & Technical Excellence 

• AI Leadership: Champion the adoption of AI-assisted testing tools and generative AI within the QA workflow. Lead transformation activities to automate test generation, self-healing scripts, and predictive quality analytics. 

• Automation Strategy: Lead the design and development of robust, scalable test automation frameworks using modern tools, with a specific focus on Playwright. 

• Hands-on Engineering: Review complex test scenarios and contribute to automation code or framework architecture. You will be expected to guide the team on technical implementation in Java, Python, or JavaScript. 

• Shift-Left & CI/CD: Support project teams in integrating quality gates within deployment pipelines and drive the adoption of "Shift-Left" testing principles. 

 
Strategic Quality Management 

• Metrics & KPIs: Define and track quality metrics (DRE, Test Coverage, Cycle Time) to provide transparent reporting to executive stakeholders. 

• SDLC Integration: Collaborate closely with Engineering, Product, and DevOps leads to embed quality as a mindset throughout the development lifecycle. 

• Infrastructure & Data: Oversee test environment management, data management strategies, and ensure the infrastructure supports rigorous performance and security testing. 

• Client Delivery Assurance: Act as the senior escalation point for critical project quality issues. Build relationships with global account leads to ensure Indian based delivery teams are meeting client expectations and strictly adhering to any SLAs 

 
Process & Operations 

• Agile Efficiency: Optimize testing processes to support rapid Agile/Scrum development cycles, reducing time-to-market whilst improving quality. 

• Prioritization: Expertly handle multiple conflicting priorities and context switching between strategic planning, crisis management, and recruitment activities. 

What we want from you: 

• Extensive QA Leadership & Team Scaling: Proven extensive experience in Quality Assurance, leading and managing teams, with a track record of building and scaling QA teams from small to medium sizes (including graduate intake and senior hires). 

• Comprehensive Technical QA Expertise: Strong hands-on proficiency in test automation frameworks (Java, Python, JavaScript), deep understanding of Functional, API, Performance (JMeter, k6), and Security testing fundamentals. 

• Modern QA Tooling & CI/CD Mastery: Experience with Playwright is highly desirable, along with proficiency in modern CI/CD tools (Jenkins, GitHub Actions, GitLab CI). 

• E-commerce/Retail Domain Expertise: Understanding of complex buying journeys within E-commerce/Retail domains, with experience using platforms like Shopify, Adobe Commerce, SFCC, or CommerceTools. 

• Strategic Business & Commercial Acumen: Ability to analyse business trends, sales pipelines, and commercial impact to forecast skill requirements, drive proactive team upskilling, and strategically prepare teams for future sales initiatives. 

• AI Transformation & Empowerment: Proven experience with AI transformation activities and a passion for empowering teams to effectively utilize AI tools in daily workflows. 

• Adaptable, Resilient & Results-Oriented: Comfortable with frequent context switching, adept at managing ambiguity in a fast-paced environment, and capable of handling demanding hiring targets and delivery deadlines. 

• Exceptional Communication & Stakeholder Management: Excellent verbal and written communication skills, capable of clearly explaining complex technical quality risks to non-technical stakeholders. 

• High Emotional Intelligence & Relationship Building: Possesses high emotional intelligence, fostering deep trust and strong relationships across cultural boundaries as an approachable, empathetic listener. 
• Vibrant Team & Tech Community Builder: Actively fosters a vibrant internal engineering culture (organizing Hackathons, Guilds, Lunch & Learns) and a strong sense of community within a distributed workforce through team bonding and celebrating successes. 

Desirable Attributes: 

• Cloud Native: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). 

• Emerging Tech: Demonstrated knowledge of AI/ML testing approaches and implementation of LLMs in testing. 

• Certifications: ISTQB Advanced Level or equivalent quality certifications. 

• Remote Management: Experience managing distributed or remote teams across different time zones. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

SLSQ427R256

Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.

Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.

The impact you will have

• Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.
• Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.
• Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.
• Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.
• Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.
• Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.
• Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.
• Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.
• Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.

What success looks like in this role

This role requires the ability to operate across two key motions simultaneously:

• Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.
• Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts.

Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.

Success in this role requires strength in four areas:

1. Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.
2. Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.
3. Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.

Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party

What we look for

• 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.
• Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.
• Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.
• Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).
• Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.
• Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.
• Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.
• Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.
• Bachelor’s degree or equivalent practical experience.

Preferred qualifications

• Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.
• Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.
• Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.
• Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.
• Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.
• Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.

Job Title: GenAI Engineer (Prompt Engineering)

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 5 to 8

Skills and Qualifications:

Join our dynamic and high-impact Data team as a Data Engineer, where you'll be responsible for safely receiving and storing trading-related data for the India teams, as well as operating and improving our shared data access and data processing systems. This is a critical role in the organisation as the data platform drives a huge range of trader analysis, simulation, reporting and insights. The ideal candidate should have work experience in systems engineering, preferably with prior exposure to financial markets and with proven working knowledge in the fields of Linux administration, orchestration and automation tools, systems hardware architecture as well as storage and data protection technologies.

Your Core Responsibilities:

• Manage and monitor all distributed systems, storage infrastructure, and data processing platforms, including HDFS, Kubernetes, Dremio, and in-house data pipelines
• Drive heavy focus on systems automation and CI/CD to enable rapid deployment of hardware and software solutions
• Collaborate closely with systems and network engineers, traders, and developers to support and troubleshoot their queries
• Stay up to date with the latest technology trends in the industry; propose, evaluate, and implement innovative solutions

Your Skills and Experience:

• 5–7 years of experience in managing large-scale multi-petabyte data infrastructure in a similar role
• Advanced knowledge of Linux system administration and internals, with proven ability to troubleshoot issues in Linux environments
• Deep expertise in at least one of the following technologies: Kafka, Spark, Cassandra/Scylla, or HDFS
• Strong working knowledge of Docker, Kubernetes, and Helm
• Experience with data access technologies such as Dremio and Presto
• Familiarity with workflow orchestration tools like Airflow and Prefect
• Exposure to cloud platforms such as AWS, GCP, or Azure
• Proficiency with CI/CD pipelines and version control systems like Git
• Understanding of best practices in data security and compliance
• Demonstrated ability to solve problems proactively and creatively with a results-oriented mindset
• Quick learner with excellent troubleshooting skills
• High degree of flexibility and adaptability

Location: Sion, Mumbai, IN 
Type: Fulltime 
Work Hours: Mon–Fri, 11:00 AM – 8:00 PM 
Reports To: Engineering Manager 

About Decisions + Process Maker 

Decisions + ProcessMaker is a fast‑growing technology company reshaping how organizations automate processes and make smarter, faster business decisions. Our platform brings together workflow automation, rule engines, AI‑powered decisioning, and no‑code/low‑code tools to help enterprises modernize efficiently and at scale. 

We are seeking a skilled Full Stack Developer (Python / React / TypeScript) to join our team and contribute to the development of our Process Intelligence Platform. This role is more front-end-focused, with significant ownership in the evolution of our dashboard and user-facing features built with React and TypeScript. In addition to frontend development, you will also design and develop backend services in Python as part of a fully remote, English-speaking team. 

Key Responsibilities:  

• Take ownership of the development and evolution of the Process Intelligence dashboard and user-facing features built with React and TypeScript. 

• Design and implement scalable, maintainable frontend architecture with a strong focus on performance and data visualization. 

• Develop and maintain backend services in Python to support analytics, APIs, and data processing needs. 

• Implement and integrate APIs between frontend and backend services, ensuring reliability and performance. 

• Work with complex event log data and contribute to data transformation and processing pipelines. 

• Optimize system performance and scalability across both frontend and backend components. 

• Collaborate closely with product management, designers, and engineers in a fully remote, English-speaking team. 

• Contribute to continuous improvement of code quality, architecture, and development practices. 

Qualifications:  

• 3+ years of professional experience in TypeScript development / Python (React, Django, Fast API frameworks).  

• Strong experience building complex React/TypeScript enterprise applications using Redux Toolkit, RTK Query, and Tailwind CSS, with a focus on data visualization and scalable component architecture. 

• Proficient in modern Python (3.10+) with strong experience in async programming, type annotations, Pydantic data modeling, and building data transformation pipelines. 

• Bachelor's Degree in computer science, information systems, engineering, or math. 

• Strong communication skills in English. 

• Strong understanding of SDLC methodologies.  

• Ability to manage workloads and conflicting priorities effectively, work both independently and collaboratively, and consistently meet firm deadlines.  

Preferred Qualifications 

• Experience working within cloud vendors (Azure/AWS) and MongoBD atlas. 

• Experience with Chart.js (or similar libraries) for complex data visualizations. 

• Experience in Task and Process Mining technologies. 

• Experience in understanding of workflow technology and process automation methods, and best practices.