Salesforce developer

Dear Candidate,

We are urgently Hiring AWS Cloud Engineer for Bangalore Location.

Position: AWS Cloud Engineer

Location: Bangalore

Experience: 8-11 yrs

Skills: Aws Cloud

Salary: Best in Industry (20-25% Hike on the current ctc)

Note:

only Immediate to 15 days Joiners will be preferred.

Candidates from Tier 1 companies will only be shortlisted and selected

Candidates' NP more than 30 days will get rejected while screening.

Offer shoppers will be rejected.

Job description:

Description:

Title: AWS Cloud Engineer

Prefer BLR / HYD – else any location is fine

Work Mode: Hybrid – based on HR rule (currently 1 day per month)

Shift Timings 24 x 7 (Work in shifts on rotational basis)

Total Experience in Years- 8+ yrs, 5 yrs of relevant exp is required.

Must have- AWS platform, Terraform, Redshift / Snowflake, Python / Shell Scripting

Experience and Skills Requirements:

Experience:

8 years of experience in a technical role working with AWS

Mandatory

Technical troubleshooting and problem solving

AWS management of large-scale IaaS PaaS solutions

Cloud networking and security fundamentals

Experience using containerization in AWS

Working Data warehouse knowledge Redshift and Snowflake preferred

Working with IaC – Terraform and Cloud Formation

Working understanding of scripting languages including Python and Shell

Collaboration and communication skills

Highly adaptable to changes in a technical environment

Optional

Experience using monitoring and observer ability toolsets inc. Splunk, Datadog

Experience using Github Actions

Experience using AWS RDS/SQL based solutions

Experience working with streaming technologies inc. Kafka, Apache Flink

Experience working with a ETL environments

Experience working with a confluent cloud platform

Certifications:

Minimum

AWS Certified SysOps Administrator – Associate

AWS Certified DevOps Engineer - Professional

Preferred

AWS Certified Solutions Architect – Associate

Responsibilities:

Responsible for technical delivery of managed services across NTT Data customer account base. Working as part of a team providing a Shared Managed Service.

The following is a list of expected responsibilities:

To manage and support a customer’s AWS platform

To be technical hands on

Provide Incident and Problem management on the AWS IaaS and PaaS Platform

Involvement in the resolution or high priority Incidents and problems in an efficient and timely manner

Actively monitor an AWS platform for technical issues

To be involved in the resolution of technical incidents tickets

Assist in the root cause analysis of incidents

Assist with improving efficiency and processes within the team

Examining traces and logs

Working with third party suppliers and AWS to jointly resolve incidents

Good to have:

Confluent Cloud

Snowflake

Best Regards,

Minakshi Soni

Executive - Talent Acquisition (L2)

Rigel Networks

Worldwide Locations: USA | HK | IN 

What you'll do:

· Perform complex application programming activities with an emphasis on mobile development: Node.js, TypeScript, JavaScript, RESTful APIs and related backend frameworks

· Assist in the definition of system architecture and detailed solution design that are scalable and extensible

· Collaborate with Product Owners, Designers, and other engineers on different permutations to find the best solution possible

· Own the quality of code and do your own testing. Write unit test and improve test coverage.

· Deliver amazing solutions to production that knock everyone’s socks off

· Mentor junior developers on the team

What we’re looking for:

· Amazing technical instincts. You know how to evaluate and choose the right technology and approach for the job. You have stories you could share about what problem you thought you were solving at first, but through testing and iteration, came to solve a much bigger and better problem that resulted in positive outcomes all-around.

· A love for learning. Technology is continually evolving around us, and you want to keep up to date to ensure we are using the right tech at the right time.

· A love for working in ambiguity—and making sense of it. You can take in a lot of disparate information and find common themes, recommend clear paths forward and iterate along the way. You don’t form an opinion and sell it as if it’s gospel; this is all about being flexible, agile, dependable, and responsive in the face of many moving parts.

· Flexible and willing to accept change in priorities, as necessary

· Demonstrable passion for technology (e.g., personal projects, open-source involvement)

· Enthusiastic embrace of DevOps culture and collaborative software engineering

· Ability and desire to work in a dynamic, fast paced, and agile team environment

· Enthusiasm for cloud computing platforms such as AWS or Azure

· Excellent written and verbal communications skills

Pattern Agentix is seeking a skilled engineer to design and develop a comprehensive knowledge graph that spans multiple biological domains—including molecular biology, biochemistry, biophysics, immunology, virology, pharmacology, and computational biology. The goal is to integrate heterogeneous datasets (ontologies, public databases, scientific literature) into a scalable, semantically rich graph that supports hypothesis generation and interdisciplinary research.

Responsibilities:

• Architecture & Design:

- Develop a scalable knowledge graph architecture using graph databases

- Design data models to capture entities (e.g., genes, proteins, chemical compounds, immune markers) and their relationships.

• Data Integration & Curation:

- Integrate data from domain-specific ontologies (e.g., Gene Ontology, ChEBI) and public repositories (e.g., UniProt, PDB).

- Build API connectors and automation pipelines for data ingestion.

- Leverage NLP tools to extract relationships from scientific literature with validation by domain experts.

• Collaboration & Documentation:

- Work closely with interdisciplinary teams and domain experts to ensure semantic accuracy.

- Document data models, integration methods, and curation guidelines.

Requirements:

• Proven experience in knowledge graph development and graph databases

• Strong programming skills (Python, Java, or similar) and experience with API development.

• Familiarity with semantic web technologies (RDF, ) and ontology management tools  

• Solid background in bioinformatics, computational biology, or related disciplines.

• Demonstrated ability to work with heterogeneous data sources and interdisciplinary projects.

Contract

We are seeking part time or full time on contract and will compensate to local norms. 

MEAN STACK DEVELOPER

About Us:

VegEase is an innovative and fast-growing company in the F&V and FMCG sectors, driving digital transformation through technology. We’re seeking an experienced MEAN Stack Developer to join our team and contribute to building efficient, scalable web applications. Familiarity with the Electron framework is a plus, as we value candidates who can help bridge web and desktop application solutions.

Key Responsibilities:

• Develop, test, and deploy scalable applications using the MEAN (MongoDB, Express.js, Angular, Node.js) stack.

• Collaborate with cross-functional teams to define and design new features.

• Optimize applications for performance, security, and scalability.

• Write clean, modular, and well-documented code that adheres to best practices.

• Work with RESTful and WebSocket APIs to ensure seamless integration with backend services.

• Troubleshoot and resolve technical issues throughout the development lifecycle.

• Build cross-platform applications using Electron (a plus) to bridge web and desktop environments.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 4+ years of hands-on experience with the MEAN Stack.

• Strong proficiency in front-end development with Angular and back-end development with Node.js and Express.js.

• Experience with MongoDB, including schema design and query optimization.

• Familiarity with Electron framework is a plus.

• Proficient understanding of code versioning tools, such as Git.

• Knowledge of cloud services like AWS or Azure is advantageous.

• Ability to work effectively in a team and independently.

• Excellent problem-solving skills and attention to detail.

Nice to Have:

• Experience with desktop application development using Electron.

• Knowledge of microservices architecture and containerization (Docker).

• Experience with CI/CD pipelines and Agile development methodologies

Work Mode: Hybrid (2 days WFO)

We are looking for a Data Engineer who is a self-starter to work in a diverse and fast-paced environment within our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns,regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.

Responsibilities

· Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements

· Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data

· Interact with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development

· Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc

· Unify, enrich, and analyze variety of data to derive insights and opportunities

· Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities

· Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate

· Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform

· Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org

· Mentor other members in the team and organization and contribute to organizations’ growth.

Soft Skills

· Independent and able to manage, prioritize & lead workloads

· Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams

· Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Technical Skills

· 8+ years’ work experience and bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.

· Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc.

· 5 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search, Azure Data factory and Azure synapse analytics, Git Integration with Azure DevOps, etc.

· Experience with designing & developing data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities

· Experience with building, testing and enhancing data curation pipelines and integrating data from a wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity

· Experience with maintaining the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensuring high availability of the platform; monitoring workload demands; working with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application

· 3+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools                                                 

In this role, you will:

• Oversee and manage the project pipeline, ensuring alignment with business objectives and resource availability.
• Collaborate with Sellers, Finance, Leadership, and Legal teams to facilitate contract negotiation, closure, and achieve targeted business outcomes.
• Act as a bridge between Sellers and the Professional Services team, ensuring seamless communication and alignment of project & services objectives.
• Maintain close communication with the sales team to understand client expectations and requirements, offering tailored solutions and insights accordingly.
• Help the Resource Managers make informed resourcing decisions based on the project pipeline, optimizing team capabilities and project requirements.
• Develop intuitive reports and dashboards, leveraging data to derive insights, monitor progress, and facilitate informed decision-making, providing concise and informative updates to leadership.
• Analyze metrics and key performance indicators within the Professional Services team, identifying trends and areas for improvement.
• Drive the creation of Standard Operating Procedures (SOPs) for the Professional Services function, seeking opportunities for process improvement within the delivery workflow.
• Work collaboratively with diverse teams to identify business problems, develop solutions, streamline operations, implement automations, integrations, and simplify operating processes.

What you should have?

• The street smart way to drive
• SaaS company experience
• It is essential to have good English communication skills.
• It would be preferable to have 2 to 8 years' experience in an Operations or similar role. Experience with SaaS and Customer Service is a plus.
• Hands-on experience with Salesforce or other CRM tools..
• Having experience with reporting tools and knowledge of CPaas, Firewall
• Action-oriented and excellent interpersonal skills
• Collaborative skills across departments.

Qualifications

• Proven experience in sales, preferably in the fintech or technology industry
• Strong knowledge of financial products, services, and industry trends
• Excellent communication and interpersonal skills
• Ability to build and maintain relationships with clients
• Demonstrated track record of meeting or exceeding sales targets
• Self-motivated and driven to achieve results
• Strong analytical and problem-solving skills
• Ability to work independently and as part of a team
• Bachelor's degree in business, finance, or a related field
• Proficiency in using CRM software and sales tools

About the Company:

ConveGenius is a leading Conversational AI company that is democratising educational and knowledge services for the mass market. Their knowledge bots have 35M users today. ConveGenius is building an omniverse on Conversational AI for the developer ecosystem to build together. We are looking for self-driven individuals who love to find innovative solutions and can perform under pressure. An eye for detail and being proud of produced code is the must-have attributes for this job.

About the role: 

At ConveGenius, we are committed to creating an inclusive and collaborative work environment that fosters creativity and innovation. Join our AI Team as Senior AI Engineer with the focus on development of cutting-edge technologies, making a real life difference in the lives of millions of users. You will be involved in a wide range of projects, from designing and building AI capabilities for our swiftchat platform, and analysing large conversation datasets. Innovative nature and proactive involvement in the product is taken very seriously at Convegenius, therefore, a major part of your role would involve thinking about new features and new ways to deliver quality learning experience to our learners.

Responsibilities:

• Develop and implement state-of-the-art NLP, Computer Vision, Speech techniques.
• Collaborate with other AI researchers to develop innovative AI solutions and services to be used to improve our platform capabilities.
• Mentor and lead the experiments with other team members.
• Conduct research and experiments in deep learning, machine learning, and related fields to support the development of AI techniques.

Qualifications:

• Bachelor's or master's degree in Computer Science, Engineering, or a related field with experience in machine learning and data analysis.
• 2-4 years of industry experience in machine learning, with a strong focus on NLP and Computer Vision.
• Hands-on experience of ML model development and deploying.
• Experience working with training and fine-tuning LLM is a plus.
• Experience in audio/speech technologies is a plus.
• Strong programming skills in Python, node.js or other relevant programming languages.
• Familiarity with machine learning libraries, such as TensorFlow, Keras, PyTorch, scikit-learn, Conversational frameworks like Rasa, DialogFlow, Lex, etc.
• Strong analytical and problem-solving skills, with the ability to think out of the box.
• Self-starter with the ability to work independently and in a team environment.

• Strongly following up with queries & being active on comments within defined TAT
• Preparing weekly, monthly reports and delivering appropriate presentations
• Conducting market research & analysing competitors trend over different social media
• Collaborating with placement colleges for campus ambassador programme
• Conducting marketing campaigns

Desired Candidate Profile

• Strong written & verbal communication skills
• Hands-on experience with different social media
• Thorough understanding of marketing techniques
• Excellent knowledge of networking
• Passion for social media
• A results-driven approach