- Position: Appian Tech Lead
- Job Description:
- Extensive experience in Appian BPM application development
- Knowledge of Appian architecture and its objects best practices
- Participate in analysis, design, and new development of Appian based applications
- Mandatory Team leadership and provide technical leadership to Scrum teams Certification Mandatory- L1, L2 or L3
- Must be able to multi-task, work in a fast-paced environment and ability to resolve problems faced by team
- Build applications: interfaces, process flows, expressions, data types, sites, integrations,
- Proficient with SQL queries and with accessing data present in DB tables and views
- Experience in Analysis, Designing process models, Records, Reports, SAIL, forms, gateways, smart services, integration services and web services
- Experience working with different Appian Object types, query rules, constant rules and expression rules
Qualifucations
- At least 6 years of experience in Implementing BPM solutions using Appian 19.x or higher
- Over 8 years in Implementing IT solutions using BPM or integration technologies
- Experience in Scrum/Agile methodologies with Enterprise level application development projects
- Good understanding of database concepts and strong working knowledge any one of the major databases e g Oracle SQL Server MySQL
- Appian BPM application development on version 19.x or higher
- Experience of integrations using web services e g XML REST WSDL SOAP API JDBC JMS
- Good leadership skills and the ability to lead a team of software engineers technically
- Experience working in Agile Scrum teams
- Good Communication skills
Shubham Vishwakarma
Full Stack Developer - Averlon
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DjangoRole Objective
As a Team Lead – AI/LLM Engineering, you will lead the development of scalable AI-powered applications and backend systems while managing a team of engineers. The role requires a strong balance of technical leadership and hands-on contribution in building production-grade solutions using Python, Django, RAG architectures, Vector Databases, and modern LLM frameworks. You will drive project execution, mentor team members, and ensure high-quality delivery of AI solutions.
Roles & Responsibilities
- Lead and manage a team of 6–10 engineers for AI/LLM-based projects.
- Drive end-to-end project delivery with focus on quality, scalability, and operational efficiency.
- Design and develop scalable backend systems using Python and Django.
- Build and optimize AI workflows involving RAG systems, Vector Databases, embeddings, and LLM orchestration.
- Work with technologies such as LangGraph and Model Context Protocol (MCP).
- Participate in architecture discussions, system design, and technical decision-making.
- Conduct code reviews and maintain engineering best practices.
- Mentor junior developers and support team growth.
- Collaborate with cross-functional teams for smooth project execution.
- Identify and remove technical blockers to improve team productivity.
- Contribute hands-on to development, debugging, and deployment activities.
Requirements
- Minimum 3 years experience as a developer.
- Minimum 7–8 months of experience with building AI systems.
- Strong hands-on experience in Python and Django development.
- Experience with Vector Databases and embedding-based retrieval systems.
- Good understanding of Data Structures & Algorithms.
- Strong knowledge of System Design and scalable application architecture.
- Experience working with AI/LLM integrations and RAG systems.
- Prior team leadership or mentoring experience.
- Good communication, analytical thinking, and problem-solving abilities.
- Ability to work in a fast-paced, collaborative environment.
Behavioural Skills
- Strong leadership and team management abilities.
- Excellent communication and interpersonal skills.
- Problem-solving mindset with strong analytical thinking.
- Ability to take ownership and drive projects independently.
- Adaptability to evolving technologies and project requirements.
- Good collaboration and stakeholder management skills.
- Strong decision-making and mentoring capabilities.
Technical Skills
- Python
- Django Framework
- Data Structures & Algorithms
- System Design
- Vector Databases
- Embeddings & Semantic Search
- RAG (Retrieval-Augmented Generation) Systems
- LangGraph
- Model Context Protocol (MCP)
- LLM Integration & Orchestration
- REST APIs
- Git & Version Control
- DevOps / Cloud Infrastructure (Preferred)
- Database Management Systems (SQL/NoSQL)
We are looking for a Sr. Executive - Media Ops for one of the World's largest Media Investment Companies in India.
Role - Sr. Executive (Media Ops)
Experience - 2 to 6 years
Locations - Mumbai, Bangalore & Gurgaon
Overview of job :-
Our Client is the worlds largest media investment company which is a part of WPP. They are a global digital transformation agency with 1200 employees across 21 nations. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.
We are currently looking for an Senior Executive Media Operations.
The role will include internationalization and cross regional export of the centralized digital service and buying model. The Ad Operations team makes sure that each one of the thousands of digital ads we run every day is tagged to pass the right information back so that we know which ads drive results, Be the first to know when big technology players like Google and Amazon change their product roadmaps and advise clients on how to get the most out of their technology budgets.
Responsibilities of the role:
- Translate Media plan into Prisma line items, oversee campaign setups, trafficking, perform QA
- Work closely with the Billing, Finance, and Vendor team to ensure smooth payouts/actualizations
- Generate campaign reports, guide team through training sessions for daily activities
- Debug and troubleshoot issues with campaign delivery and performance.
- Identify process inefficiencies and ways to improve operations workflow.
- Help the manager to enhance the process which can ensure high quality, delivery in SLA, and assist in teams training and development. - Assist the internal teams in understanding aspects of campaign and other technical aspects- tag, floodlights and page troubleshooting
- Help execution team with campaign setups whenever required
- Provide the data point and help managers to smoothly run day-to-day operations
What you will need:
- Bachelor Degreein any subject/ B.Tech preferred.
- Excellence in MS Excel
- 2 - 6 years of experience in Ad Operations, well versed with digital landscape
- Experience in aquantitative field, including: a DFA or ad servers reporting tools with tag implementation tools and analytics/reporting platform
- Creative problem solver, self- motivated and driven. Quick learner and willing to try new tools/software for reporting, Trafficking & analysis
- Ideal candidate will have hands on experience working withGoogle Campaign Manager, Sizmek
- Experience with Salesforce/Prismapreferred.
Java
Spring BootEnterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership, and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.
Pre-requisites for the Role
1.Job ID-EMJA0120PS
- Primary skill:
- Must have experience developing in Java latest version (least version is 8)
- Must have experience in design and development using Micro service architecture
- Solid knowledge in OOP concepts, and design principles/patterns for developing scalable applications
- Must have experience developing Spring Bootapplications
- Must have experience developing database access layer using Spring Data JPA/Hibernates
- Must have experience in developing REST Servicesusing Spring
- Good working experience in development of event driven systems using any framework
- Must have experience with any RDBMS and at least one NoSQL database preferably PostgresSQL and Mongo DB
- Must have experience writing unit and integration tests using Junit
- Must have experience using mock frameworks like Mockito, WireMock
- Must have experience using Git
- Must have experience with CI / CD
- Basic hands-on experience in one of the cloud provider (AWS/Azure) or at least docker and Kubernetes
- Familiarity with build tools Maven or Gradle
- Added advantage with experience of Reactive and Functional Programming
- Secondary skill:
- Develop Java webservices and components according to a detailed design document.
- Build efficient, reusable and reliable Java code per industry best practices.
- Follow TDD approach and ensure unit-test coverage meets quality requirements.
- Develop Integration tests to ensure coding adheres to acceptance criteria and verify end-to-end behavior of the system.
- Ensure best possible performance, quality and responsiveness of application
- Years of Experience: 11-12 Years
- Location: Remote
- Position-1
- Budget- Max 40 LPA
- NP- Immediate
Where: Hyderabad/ Bengaluru, India (Hybrid Mode 3 Days/Week in Office)
Job Description:
- Collaborate with stakeholders to develop a data strategy that meets enterprise needs and industry requirements.
- Create an inventory of the data necessary to build and implement a data architecture.
- Envision data pipelines and how data will flow through the data landscape.
- Evaluate current data management technologies and what additional tools are needed.
- Determine upgrades and improvements to current data architectures.
- Design, document, build and implement database architectures and applications. Should have hands-on experience in building high scale OLAP systems.
- Build data models for database structures, analytics, and use cases.
- Develop and enforce database development standards with solid DB/ Query optimizations capabilities.
- Integrate new systems and functions like security, performance, scalability, governance, reliability, and data recovery.
- Research new opportunities and create methods to acquire data.
- Develop measures that ensure data accuracy, integrity, and accessibility.
- Continually monitor, refine, and report data management system performance.
Required Qualifications and Skillset:
- Extensive knowledge of Azure, GCP clouds, and DataOps Data Eco-System (super strong in one of the two clouds and satisfactory in the other one)
- Hands-on expertise in systems like Snowflake, Synapse, SQL DW, BigQuery, and Cosmos DB. (Expertise in any 3 is a must)
- Azure Data Factory, Dataiku, Fivetran, Google Cloud Dataflow (Any 2)
- Hands-on experience in working with services/technologies like - Apache Airflow, Cloud Composer, Oozie, Azure Data Factory, and Cloud Data Fusion (Expertise in any 2 is required)
- Well-versed with Data services, integration, ingestion, ELT/ETL, Data Governance, Security, and Meta-driven Development.
- Expertise in RDBMS (relational database management system) – writing complex SQL logic, DB/Query optimization, Data Modelling, and managing high data volume for mission-critical applications.
- Strong grip on programming using Python and PySpark.
- Clear understanding of data best practices prevailing in the industry.
- Preference to candidates having Azure or GCP architect certification. (Either of the two would suffice)
- Strong networking and data security experience.
Awareness of the Following:
- Application development understanding (Full Stack)
- Experience on open-source tools like Kafka, Spark, Splunk, Superset, etc.
- Good understanding of Analytics Platform Landscape that includes AI/ML
- Experience in any Data Visualization tool like PowerBI / Tableau / Qlik /QuickSight etc.
About Us
Gramener is a design-led data science company. We build custom Data & AI solutions that help solve complex business problems with actionable insights and compelling data stories. We partner with enterprise data and digital transformation teams to improve the data-driven decision-making culture across the organization. Our open standard low-code platform, Gramex, rapidly builds engaging Data & AI solutions across multiple business verticals and use cases. Our solutions and technology have been recognized by analysts such as Gartner and Forrester and have won several awards.
We Offer You:
- a chance to try new things & take risks.
- meaningful problems you'll be proud to solve.
- people you will be comfortable working with.
- transparent and innovative work environment.
To know more about us visit Gramener Website and Gramener Blog.
If anyone looking for the same, kindly share below mentioned details.
Total Experience:
Relevant Experience:
Notice Period:
CTCT:
ECTC:
Current Location:
Job responsibilities
- You will partner with teammates to create complex data processing pipelines in order to solve our clients' most complex challenges
- You will collaborate with Data Scientists in order to design scalable implementations of their models
- You will pair to write clean and iterative code based on TDD
- Leverage various continuous delivery practices to deploy, support and operate data pipelines
- Advise and educate clients on how to use different distributed storage and computing technologies from the plethora of options available
- Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
- Create data models and speak to the tradeoffs of different modeling approaches
- Seamlessly incorporate data quality into your day-to-day work as well as into the delivery process
- Assure effective collaboration between Thoughtworks' and the client's teams, encouraging open communication and advocating for shared outcomes
- You have a good understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop
- You have built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting
- Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions
- You are comfortable taking data-driven approaches and applying data security strategy to solve business problems
- Working with data excites you: you can build and operate data pipelines, and maintain data storage, all within distributed systems
- You're genuinely excited about data infrastructure and operations with a familiarity working in cloud environments
- Professional skills
- You're resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectives
- An interest in coaching, sharing your experience and knowledge with teammates
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed
- Presence in the external tech community: you willingly share your expertise with others via speaking engagements, contributions to open source, blogs and more
AngularJS (1.x)Please find the ServiceNow JD for Service Mapping:
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FlaskLocation : Remote-Anywhere from India as permanent work from home option available
Required Skills:
• Strong coding experience in Python and Flask Web Framework.
• Information retrieval – Web Scraping.
• Experience with NoSQL data storage like MongoDB.
• Good knowledge of Asynchronous task schedulers like Celery
• Experience working with large scale databases and storage.
• Knowledge of Javascript with Node.js is a plus.
• Knowledge of working with various front end technologies and how various websites are built. Sound understanding of Asynchronous Programming in python like AsyncIO
2) We are also looking at someone who has had experience scaling startups at seed/series-A stage to Series C/D and understand how a startup org scales up and the challenges/hustle associated with the same.
3) Tech hiring experience is a definite +++ and we would want this person to stand out in terms of the diversity of roles they've hired for in the past and the companies they have worked for.
Location: Kurla (Mumbai)
B2C sales/Inside Sales
Experience: 2-4 years into B2C/Inside sales (Mandatory)
Excellent communication is must
Compensation: Upto 6LPA
Immediate Joining
Max Age: 30
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon