JoulestoWatts Business Solutions
Confidential · Internal Use OnlyPage
AI Consultant · Senior / Lead
Bangalore | Full-Time
6–12 Years · AI Strategy & Delivery · Enterprise AI Products
ROLE SUMMARY
You spend roughly equal parts of your time sitting with clients to understand what they actually need, designing AI solution architectures, and translating ambiguity into business cases, roadmaps, and delivery plans — while staying close enough to the technical work to lead through what you produce, not just through what you specify.
This role exists because most AI consultants we meet are either strong advisors who cannot architect, or strong engineers who cannot navigate a boardroom. We need someone who does both, and prefers it that way.
AI is the core of everything you will deliver. You will work across supervised ML, generative AI, LLM pipelines, RAG systems, and agentic workflows — bringing hands-on experience in Python, cloud platforms, and the broader AI/ML stack, alongside the consulting craft to make it land with clients.
The split is roughly 40% solutioning and client engagement, 60% delivery oversight and hands-on contribution. The exact balance flexes with the engagement.
WHAT YOU WILL DO
Client Engagement & Advisory
–
Engage with client stakeholders — CTOs, business sponsors, functional leads — to understand business problems, current-state processes, and decision-making workflows.
–
Conduct AI readiness assessments across data maturity, infrastructure, organisational capability, and process suitability for ML adoption.
–
Define and present AI solution roadmaps, use case prioritisation frameworks, and ROI models to senior stakeholders.
–
Translate complex AI concepts and model outputs into clear, business-relevant narratives for non-technical audiences.
–
Lead workshops, discovery sessions, and requirement-gathering exercises across cross-functional teams. The bar is to leave the room with a sharper problem statement than you walked in with.
Solution Architecture & Design
–
Design end-to-end AI solution architectures: data pipelines, model layer, inference services, and integration with existing enterprise systems.
–
Define data requirements, feature engineering strategies, and model evaluation criteria aligned to business objectives.
–
Assess build vs. buy vs. integrate options for AI components; provide structured recommendations with trade-off analysis.
–
Develop solution blueprints, architecture decision records, and technical specifications for delivery teams.
Delivery Oversight
–
Act as the technical bridge between client stakeholders and delivery and engineering teams throughout the project lifecycle.
–
Own solution quality: review model outputs, validate results against business acceptance criteria, and sign off on deployments.
–
Identify risks, dependencies, and scope changes; manage escalations and course corrections proactively.
–
Contribute to proof-of-concept development and prototype validation where required. You write code when it matters, not only when it is convenient.
JoulestoWatts Business Solutions
Confidential · Internal Use OnlyPage
Practice & Capability Development
–
Contribute to internal AI practice development: frameworks, reusable assets, methodology documentation, and proposal templates.
–
Support pre-sales activities: solution scoping, effort estimation, and proposal writing for AI engagements. You support the commercial motion; you do not own it.
–
Mentor junior consultants and analysts on both the technical and client-facing dimensions of AI delivery.
TECHNICAL SKILLS
This is the stack we expect you to be fluent in. Not every engagement uses every item, but a senior candidate will have hands-on experience across most of these.
AI & Machine Learning
–
Practical experience with supervised, unsupervised, and generative AI approaches applied to real business problems.
–
Model selection, evaluation, and trade-off analysis across regression, classification, and time-series tasks.
–
Explainability and responsible AI: bias assessment, confidence scoring, auditability.
–
Python ML stack: scikit-learn, XGBoost, PyTorch, or TensorFlow at production depth.
LLM & Generative AI
–
Applied LLM solutioning: RAG pipelines (chunking, embeddings, retrieval, re-ranking, evaluation), prompt engineering, structured output generation.
–
Agent frameworks: LangChain, LangGraph, or equivalent. MCP and tool calling.
–
Evaluating LLM fit vs. traditional ML for specific business use cases.
–
Governance and risk considerations for generative AI in enterprise environments.
Data & Architecture
–
Data architecture for AI systems: pipelines, feature engineering, storage, and integration patterns.
–
Cloud platform fluency: AWS, GCP, or Azure — including managed AI/ML services such as SageMaker, Vertex AI, or Azure ML.
–
API design and system integration concepts for embedding AI into enterprise workflows.
–
MLOps awareness: deployment, versioning, monitoring, and retraining cycles.
CONSULTING EXPERIENCE
We are not looking for someone who has advised from the sidelines. We are looking for someone who has owned delivery end-to-end.
–
You have run the full consulting cycle: discovery, solutioning, implementation oversight, and handover. You can walk through what you defined, what changed, and why.
–
You are comfortable in senior client conversations — CTOs, VPs, business sponsors — and know the difference between asking better questions and giving better answers.
–
You can probe a vague client request and surface the actual problem. Ambiguity is an opportunity, not a blocker.
–
You write well. One-page proposals, architecture documents, board-ready presentations, and concise stakeholder updates — with equal ease.
–
You have built business cases and ROI models that held up in procurement. You know what executives actually read in a slide deck.
–
You have worked in or alongside agile delivery teams and know when to move fast and when to slow down.
JoulestoWatts Business Solutions
Confidential · Internal Use OnlyPage
AI DELIVERY EXPERIENCE
We are not looking for a research scientist or someone who has only written notebooks. We are looking for someone who treats AI as production delivery.
–
You have shipped real AI solutions with users or business outcomes on the other end. You can name the systems, the stack, the failure modes, and what you fixed.
–
You understand the difference between a proof of concept and a production system. You have evaluation frameworks, observability, fallbacks, cost controls.
–
You exercise sound judgment on when AI helps and when it adds risk. You have recommended against AI-where-AI-does-not-fit and can explain why.
–
You are comfortable with the pace of the field. You read, test, and adapt. You do not require a stable spec to make progress.
–
You can explain LLM behaviour, model confidence, and AI limitations to a non-technical client without dumbing it down or overselling.
–
You have run pilots to demonstrate feasibility before full-scale delivery. You know how to design a pilot that answers the right question and builds stakeholder confidence — not just technical proof of concept.
–
Ideal candidate should have a product and microservice mindset — thinking in terms of composable, independently deployable components rather than monolithic solutions, and applying product discipline to how AI capabilities are scoped, iterated, and adopted.
CLIENT AND COMMUNICATION SKILLS
–
You have worked directly with external clients, not only internal stakeholders, at senior and executive levels.
–
You can run a discovery session and walk out with a sharper problem statement than when you walked in.
–
You write well and produce clean, concise deliverables: proposals, solution briefs, architecture documents, executive summaries.
–
You present technical work to non-technical audiences without losing them or condescending to them.
–
You navigate complex organisational dynamics and competing stakeholder interests without losing the plot.
LEADERSHIP
–
You have led delivery teams or mentored consultants and analysts through engagements. You know the difference between leading and managing.
–
You mentor others and can name specific people who grew under your guidance.
–
You set the bar through your own work and through the standards you hold others to in reviews and delivery checkpoints.
–
You are comfortable being the most senior technical voice in the room, and comfortable not being.
NICE TO HAVE
–
Domain experience in pricing, estimation, commercial operations, engineering services, or manufacturing.
–
Exposure to digital twin concepts, simulation models, or operations research applied to enterprise decisions.
–
Experience delivering AI in regulated or audit-sensitive environments.
–
Prior experience in a product company or AI platform business — not only services or consulting.
–
Familiarity with enterprise systems: ERP, CRM, CPQ, or PLM platforms as integration contexts.
JoulestoWatts Business Solutions
Confidential · Internal Use OnlyPage
–
Specific exposure to production agentic systems.
WHAT THIS ROLE IS NOT
–
Not a pure advisory role. If your last two years have been strategy decks without delivery accountability, this is not the right fit.
–
Not a pure engineering role. We need someone who leads through client relationships and delivery, not only through code.
–
Not a research role. We deliver production AI, not papers or experiments.
–
Not a pre-sales role. You support the commercial motion; you do not own it.
–
Not a project management role. You should understand what your team is delivering because you are close to the outputs, not because you are tracking a Gantt chart.
QUALIFICATIONS
–
Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field.
–
6–12 years of experience spanning AI/ML engineering and client-facing consulting or solutioning roles.
–
Demonstrated track record of delivering AI solutions from problem definition through to production and business adoption.
–
Strong written and verbal communication skills; ability to produce board-ready presentations and detailed technical documents.
HOW WE WILL EVALUATE YOU
–
A portfolio of AI engagements or delivered solutions we can discuss in depth. We care about what you have actually shipped.
–
A technical conversation walking through one of your past AI projects: the problem, the approach, what broke, and what you would do differently.
–
A solutioning exercise where we hand you a vague client problem and watch you probe, scope, and propose. The exercise is graded on the questions you ask, not just the answer you produce.
–
A short paired session, live, on an AI-flavoured problem. We want to see how you think and work, not just what you can describe.
–
A reference conversation with a client, colleague, or team member who has seen you deliver.
Responsibilities
JoulestoWatts Business Solutions
Confidential · Internal Use OnlyPage
AI Consultant · Senior / Lead
Bangalore | Full-Time
6–12 Years · AI Strategy & Delivery · Enterprise AI Products
ROLE SUMMARY
You spend roughly equal parts of your time sitting with clients to understand what they actually need, designing AI solution architectures, and translating ambiguity into business cases, roadmaps, and delivery plans — while staying close enough to the technical work to lead through what you produce, not just through what you specify.
This role exists because most AI consultants we meet are either strong advisors who cannot architect, or strong engineers who cannot navigate a boardroom. We need someone who does both, and prefers it that way.
AI is the core of everything you will deliver. You will work across supervised ML, generative AI, LLM pipelines, RAG systems, and agentic workflows — bringing hands-on experience in Python, cloud platforms, and the broader AI/ML stack, alongside the consulting craft to make it land with clients.
The split is roughly 40% solutioning and client engagement, 60% delivery oversight and hands-on contribution. The exact balance flexes with the engagement.
WHAT YOU WILL DO
Client Engagement & Advisory
–
Engage with client stakeholders — CTOs, business sponsors, functional leads — to understand business problems, current-state processes, and decision-making workflows.
–
Conduct AI readiness assessments across data maturity, infrastructure, organisational capability, and process suitability for ML adoption.
–
Define and present AI solution roadmaps, use case prioritisation frameworks, and ROI models to senior stakeholders.
–
Translate complex AI concepts and model outputs into clear, business-relevant narratives for non-technical audiences.
–
Lead workshops, discovery sessions, and requirement-gathering exercises across cross-functional teams. The bar is to leave the room with a sharper problem statement than you walked in with.
Solution Architecture & Design
–
Design end-to-end AI solution architectures: data pipelines, model layer, inference services, and integration with existing enterprise systems.
–
Define data requirements, feature engineering strategies, and model evaluation criteria aligned to business objectives.
–
Assess build vs. buy vs. integrate options for AI components; provide structured recommendations with trade-off analysis.
–
Develop solution blueprints, architecture decision records, and technical specifications for delivery teams.
Delivery Oversight
–
Act as the technical bridge between client stakeholders and delivery and engineering teams throughout the project lifecycle.
–
Own solution quality: review model outputs, validate results against business acceptance criteria, and sign off on deployments.
–
Identify risks, dependencies, and scope changes; manage escalations and course corrections proactively.
–
Contribute to proof-of-concept development and prototype validation where required. You write code when it matters, not only when it is convenient.
JoulestoWatts Business Solutions
Confidential · Internal Use OnlyPage
Practice & Capability Development
–
Contribute to internal AI practice development: frameworks, reusable assets, methodology documentation, and proposal templates.
–
Support pre-sales activities: solution scoping, effort estimation, and proposal writing for AI engagements. You support the commercial motion; you do not own it.
–
Mentor junior consultants and analysts on both the technical and client-facing dimensions of AI delivery.
TECHNICAL SKILLS
This is the stack we expect you to be fluent in. Not every engagement uses every item, but a senior candidate will have hands-on experience across most of these.
AI & Machine Learning
–
Practical experience with supervised, unsupervised, and generative AI approaches applied to real business problems.
–
Model selection, evaluation, and trade-off analysis across regression, classification, and time-series tasks.
–
Explainability and responsible AI: bias assessment, confidence scoring, auditability.
–
Python ML stack: scikit-learn, XGBoost, PyTorch, or TensorFlow at production depth.
LLM & Generative AI
–
Applied LLM solutioning: RAG pipelines (chunking, embeddings, retrieval, re-ranking, evaluation), prompt engineering, structured output generation.
–
Agent frameworks: LangChain, LangGraph, or equivalent. MCP and tool calling.
–
Evaluating LLM fit vs. traditional ML for specific business use cases.
–
Governance and risk considerations for generative AI in enterprise environments.
Data & Architecture
–
Data architecture for AI systems: pipelines, feature engineering, storage, and integration patterns.
–
Cloud platform fluency: AWS, GCP, or Azure — including managed AI/ML services such as SageMaker, Vertex AI, or Azure ML.
–
API design and system integration concepts for embedding AI into enterprise workflows.
–
MLOps awareness: deployment, versioning, monitoring, and retraining cycles.
CONSULTING EXPERIENCE
We are not looking for someone who has advised from the sidelines. We are looking for someone who has owned delivery end-to-end.
–
You have run the full consulting cycle: discovery, solutioning, implementation oversight, and handover. You can walk through what you defined, what changed, and why.
–
You are comfortable in senior client conversations — CTOs, VPs, business sponsors — and know the difference between asking better questions and giving better answers.
–
You can probe a vague client request and surface the actual problem. Ambiguity is an opportunity, not a blocker.
–
You write well. One-page proposals, architecture documents, board-ready presentations, and concise stakeholder updates — with equal ease.
–
You have built business cases and ROI models that held up in procurement. You know what executives actually read in a slide deck.
–
You have worked in or alongside agile delivery teams and know when to move fast and when to slow down.
JoulestoWatts Business Solutions
Confidential · Internal Use OnlyPage
AI DELIVERY EXPERIENCE
We are not looking for a research scientist or someone who has only written notebooks. We are looking for someone who treats AI as production delivery.
–
You have shipped real AI solutions with users or business outcomes on the other end. You can name the systems, the stack, the failure modes, and what you fixed.
–
You understand the difference between a proof of concept and a production system. You have evaluation frameworks, observability, fallbacks, cost controls.
–
You exercise sound judgment on when AI helps and when it adds risk. You have recommended against AI-where-AI-does-not-fit and can explain why.
–
You are comfortable with the pace of the field. You read, test, and adapt. You do not require a stable spec to make progress.
–
You can explain LLM behaviour, model confidence, and AI limitations to a non-technical client without dumbing it down or overselling.
–
You have run pilots to demonstrate feasibility before full-scale delivery. You know how to design a pilot that answers the right question and builds stakeholder confidence — not just technical proof of concept.
–
Ideal candidate should have a product and microservice mindset — thinking in terms of composable, independently deployable components rather than monolithic solutions, and applying product discipline to how AI capabilities are scoped, iterated, and adopted.
CLIENT AND COMMUNICATION SKILLS
–
You have worked directly with external clients, not only internal stakeholders, at senior and executive levels.
–
You can run a discovery session and walk out with a sharper problem statement than when you walked in.
–
You write well and produce clean, concise deliverables: proposals, solution briefs, architecture documents, executive summaries.
–
You present technical work to non-technical audiences without losing them or condescending to them.
–
You navigate complex organisational dynamics and competing stakeholder interests without losing the plot.
LEADERSHIP
–
You have led delivery teams or mentored consultants and analysts through engagements. You know the difference between leading and managing.
–
You mentor others and can name specific people who grew under your guidance.
–
You set the bar through your own work and through the standards you hold others to in reviews and delivery checkpoints.
–
You are comfortable being the most senior technical voice in the room, and comfortable not being.
NICE TO HAVE
–
Domain experience in pricing, estimation, commercial operations, engineering services, or manufacturing.
–
Exposure to digital twin concepts, simulation models, or operations research applied to enterprise decisions.
–
Experience delivering AI in regulated or audit-sensitive environments.
–
Prior experience in a product company or AI platform business — not only services or consulting.
–
Familiarity with enterprise systems: ERP, CRM, CPQ, or PLM platforms as integration contexts.
JoulestoWatts Business Solutions
Confidential · Internal Use OnlyPage
–
Specific exposure to production agentic systems.
WHAT THIS ROLE IS NOT
–
Not a pure advisory role. If your last two years have been strategy decks without delivery accountability, this is not the right fit.
–
Not a pure engineering role. We need someone who leads through client relationships and delivery, not only through code.
–
Not a research role. We deliver production AI, not papers or experiments.
–
Not a pre-sales role. You support the commercial motion; you do not own it.
–
Not a project management role. You should understand what your team is delivering because you are close to the outputs, not because you are tracking a Gantt chart.
QUALIFICATIONS
–
Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field.
–
6–12 years of experience spanning AI/ML engineering and client-facing consulting or solutioning roles.
–
Demonstrated track record of delivering AI solutions from problem definition through to production and business adoption.
–
Strong written and verbal communication skills; ability to produce board-ready presentations and detailed technical documents.
HOW WE WILL EVALUATE YOU
–
A portfolio of AI engagements or delivered solutions we can discuss in depth. We care about what you have actually shipped.
–
A technical conversation walking through one of your past AI projects: the problem, the approach, what broke, and what you would do differently.
–
A solutioning exercise where we hand you a vague client problem and watch you probe, scope, and propose. The exercise is graded on the questions you ask, not just the answer you produce.
–
A short paired session, live, on an AI-flavoured problem. We want to see how you think and work, not just what you can describe.
–
A reference conversation with a client, colleague, or team member who has seen you deliver.
Salary : Rs. 2,50,000.0 - Rs. 6,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Developer
Job Description: Python Developers
Responsibility of / Expectations from the Role
1 5+ years’ experience as Python Developer / Designer
2 Researching, designing, implementing, and managing software programs.
3 Used Python for data engineering (Processing data).
4 Have experience in processing structured/unstructured/semi-structured data using python. Ex. CSV, XML, HTML, SQL and JSON.
5 Testing and evaluating new programs.
6 Knowledge or Working with Pandas and Boto3 in Python is a Plus.
7 Identifying areas for modification in existing programs and subsequently developing these modifications.
8 Write effective, scalable code
9 Develop back-end components to improve responsiveness and overall performance
10 Implement security and data protection solutions
Responsibilities
Job Description: Python Developers
Responsibility of / Expectations from the Role
1 5+ years’ experience as Python Developer / Designer
2 Researching, designing, implementing, and managing software programs.
3 Used Python for data engineering (Processing data).
4 Have experience in processing structured/unstructured/semi-structured data using python. Ex. CSV, XML, HTML, SQL and JSON.
5 Testing and evaluating new programs.
6 Knowledge or Working with Pandas and Boto3 in Python is a Plus.
7 Identifying areas for modification in existing programs and subsequently developing these modifications.
8 Write effective, scalable code
9 Develop back-end components to improve responsiveness and overall performance
10 Implement security and data protection solutions
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are seeking a new talent to join the Information Technology Operations team where you will have the opportunity to collaborate in the project Pune Ops - Shared. The client is Cross Client, a company providing diverse services across multiple sectors.Responsibilities: As an IT Customer Service Representative, you will be responsible for managing delivery for IT production systems and services. Your day-to-day activities will include driving incident, issue, and outage management, as well as investigation and restoration efforts. You are expected to build knowledge and support the team while actively participating in problem-solving discussions. Intermediate proficiency in Microsoft Windows Desktop Management is required. Develop a clear understanding of IT production systems to effectively support incident resolution. Follow established processes to ensure timely and accurate management of IT service issues. Collaborate with team members to identify recurring problems and contribute to continuous improvement. Communicate effectively with stakeholders to provide updates and gather necessary information. Maintain detailed documentation of incidents and resolutions to support knowledge sharing within the team.RRN- RRN000378Type of resource :NewThere is new requirements as Additional headcount has been approved to support the upcoming PDC8 facility in Pune.
Responsibilities
We are seeking a new talent to join the Information Technology Operations team where you will have the opportunity to collaborate in the project Pune Ops - Shared. The client is Cross Client, a company providing diverse services across multiple sectors.Responsibilities: As an IT Customer Service Representative, you will be responsible for managing delivery for IT production systems and services. Your day-to-day activities will include driving incident, issue, and outage management, as well as investigation and restoration efforts. You are expected to build knowledge and support the team while actively participating in problem-solving discussions. Intermediate proficiency in Microsoft Windows Desktop Management is required. Develop a clear understanding of IT production systems to effectively support incident resolution. Follow established processes to ensure timely and accurate management of IT service issues. Collaborate with team members to identify recurring problems and contribute to continuous improvement. Communicate effectively with stakeholders to provide updates and gather necessary information. Maintain detailed documentation of incidents and resolutions to support knowledge sharing within the team.RRN- RRN000378Type of resource :NewThere is new requirements as Additional headcount has been approved to support the upcoming PDC8 facility in Pune.
Salary : Rs. 0.0 - Rs. 30,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
o Proficiency in Java programming.
o Hands-on 6 years experience with test automation tools like Selenium and strong expertise in BDD Cucumber
o Experience in API testing e.g., Rest Assured, Postman
o Must have Understanding of web technologies (HTML5, CSS3, JavaScript) and databases (SQL).
Skills: HiTech : Automation Testing~AI and Automation
Responsibilities
o Proficiency in Java programming.
o Hands-on 6 years experience with test automation tools like Selenium and strong expertise in BDD Cucumber
o Experience in API testing e.g., Rest Assured, Postman
o Must have Understanding of web technologies (HTML5, CSS3, JavaScript) and databases (SQL).
Skills: HiTech : Automation Testing~AI and Automation
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve collaborating with teams to develop innovative solutions and ensure seamless application functionality.Roles & Responsibilities: - Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process- Implement best practices for application design and development- Conduct code reviews and ensure code quality standards are metProfessional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services, ADF, ADB, Pyspark- Hands on experience in Azure Data Lake Storage (ADLS Gen2), Azure SQL / SQL DW, Azure Synapse Analytics, Azure Functions - Proficiency in SQL (T-SQL, PL/SQL) for querying, data manipulation, and optimization. - Knowledge of Azure SQL Database and Azure Cosmos DB- Proficiency with Python or Scala for scripting and data transformation. Additional Information: - The candidate should have a minimum of 5 years of experience in Microsoft Azure Data Services- This position is based at our Pune office (Kharadi) and 3 days WFO mandatory- A 15 years full-time education is required
Responsibilities
As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve collaborating with teams to develop innovative solutions and ensure seamless application functionality.Roles & Responsibilities: - Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process- Implement best practices for application design and development- Conduct code reviews and ensure code quality standards are metProfessional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services, ADF, ADB, Pyspark- Hands on experience in Azure Data Lake Storage (ADLS Gen2), Azure SQL / SQL DW, Azure Synapse Analytics, Azure Functions - Proficiency in SQL (T-SQL, PL/SQL) for querying, data manipulation, and optimization. - Knowledge of Azure SQL Database and Azure Cosmos DB- Proficiency with Python or Scala for scripting and data transformation. Additional Information: - The candidate should have a minimum of 5 years of experience in Microsoft Azure Data Services- This position is based at our Pune office (Kharadi) and 3 days WFO mandatory- A 15 years full-time education is required
Salary : Rs. 0.0 - Rs. 2,45,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and solves issues within multiple components of critical business systems. Your typical day will involve collaborating with various teams to troubleshoot and resolve application-related challenges, ensuring the smooth operation of essential services. You will engage in problem-solving activities, analyze system performance, and contribute to the continuous improvement of application support processes, all while maintaining a focus on delivering high-quality service to stakeholders. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of best practices for application support.- Provide training and guidance to junior team members on troubleshooting techniques and tools. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apigee.- Good To Have Skills: Experience with IBM API Connect, IBM WebSphere DataPower.- Strong understanding of API management and integration techniques.- Experience with monitoring and performance tuning of applications.- Familiarity with incident management and ticketing systems. Additional Information: - The candidate should have minimum 3 years of experience in Apigee.- This position is based at our Hyderabad office.-
Responsibilities
As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and solves issues within multiple components of critical business systems. Your typical day will involve collaborating with various teams to troubleshoot and resolve application-related challenges, ensuring the smooth operation of essential services. You will engage in problem-solving activities, analyze system performance, and contribute to the continuous improvement of application support processes, all while maintaining a focus on delivering high-quality service to stakeholders. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of best practices for application support.- Provide training and guidance to junior team members on troubleshooting techniques and tools. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apigee.- Good To Have Skills: Experience with IBM API Connect, IBM WebSphere DataPower.- Strong understanding of API management and integration techniques.- Experience with monitoring and performance tuning of applications.- Familiarity with incident management and ticketing systems. Additional Information: - The candidate should have minimum 3 years of experience in Apigee.- This position is based at our Hyderabad office.-
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
: Drools Rule Management System
Role Descriptions: Backend Development (Java)Design and develop scalable| high performance backend services using Java and J2EE technologiesBuild and maintain RESTful APIs and microservices using Spring Boot and related frameworksFrontend DevelopmentDevelop responsive| user-friendly web interfaces using Angular frameworksCollaborate with UXUI designers to translate wireframes into high quality frontend implementationsEnsure cross browser compatibility| performance optimization| and accessibility standardsIntegrate frontend components seamlessly with backend APIsDatabase PersistenceStrong practical experience with relational databases such as MySQL| PostgreSQL| SQL development and schema design Exposure to NoSQL databases like MongoDB| CassandraDevOps| CICD CloudDeploy and manage applications in cloud environments (Azure)Monitor application health and support production releases and troubleshootingStrong experience with version control using GitGitHub and deployment automationSolid understanding of Agile methodologies| project management tools like JiraQuality| Security GovernancePerform peer code reviews to maintain high coding standards and consistencyEnsure adherence to security best practices| authentication| authorization| and data protectionSupport Agile ceremonies| sprint planning| estimations| and retrospectivesAI TechnologiesSkillsWorking knowledge and practical exposure to Claude AI| leveraging AI capabilities for accelerating development| debugging| code reviews| and technical documentation
Essential Skills: Looking for a Senior Java Full Stack Developer with Drools and over 10 years of strong hands-on experience in designing| developing| and delivering enterprise grade web applications. Resource should have deep expertise across Java backend technologies and modern frontend frameworks| combined with strong exposure to microservices| cloud-native development| CICD| and Agile delivery.
Responsibilities
Role Descriptions: Backend Development (Java)Design and develop scalable| high performance backend services using Java and J2EE technologiesBuild and maintain RESTful APIs and microservices using Spring Boot and related frameworksFrontend DevelopmentDevelop responsive| user-friendly web interfaces using Angular frameworksCollaborate with UXUI designers to translate wireframes into high quality frontend implementationsEnsure cross browser compatibility| performance optimization| and accessibility standardsIntegrate frontend components seamlessly with backend APIsDatabase PersistenceStrong practical experience with relational databases such as MySQL| PostgreSQL| SQL development and schema design Exposure to NoSQL databases like MongoDB| CassandraDevOps| CICD CloudDeploy and manage applications in cloud environments (Azure)Monitor application health and support production releases and troubleshootingStrong experience with version control using GitGitHub and deployment automationSolid understanding of Agile methodologies| project management tools like JiraQuality| Security GovernancePerform peer code reviews to maintain high coding standards and consistencyEnsure adherence to security best practices| authentication| authorization| and data protectionSupport Agile ceremonies| sprint planning| estimations| and retrospectivesAI TechnologiesSkillsWorking knowledge and practical exposure to Claude AI| leveraging AI capabilities for accelerating development| debugging| code reviews| and technical documentation
Essential Skills: Looking for a Senior Java Full Stack Developer with Drools and over 10 years of strong hands-on experience in designing| developing| and delivering enterprise grade web applications. Resource should have deep expertise across Java backend technologies and modern frontend frameworks| combined with strong exposure to microservices| cloud-native development| CICD| and Agile delivery.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
