jQuery Developer

Role Summary

We are seeking a proactive and technically skilled Python Application Support Engineer to join our Technical Operations team. This role is crucial for ensuring the stability and reliability of our mission-critical, Python-based applications. You will be responsible for timely incident resolution, deep-dive troubleshooting, implementing permanent fixes, and driving operational efficiency through automation.

🔑 Key Responsibilities

Technical Troubleshooting & Incident Management

• Incident Resolution: Serve as the primary point of contact for complex Level 2 and Level 3 production incidents, diagnosing root causes and resolving issues across our Python application stack.
• Deep-Dive Analysis: Utilize log analysis tools (e.g., Splunk, ELK Stack) and monitoring platforms (e.g., Prometheus, Grafana) to quickly identify and address anomalies in application behavior.
• Code Debugging: Analyze, debug, and fix application issues directly within the Python codebase, including Flask/Django services, worker queues, and custom scripts.
• Database Health: Troubleshoot performance issues and conduct basic SQL/NoSQL query tuning and health checks (e.g., for PostgreSQL, MongoDB, or Redis).

Operational Excellence & Automation

• Monitoring & Alerting: Continuously refine and optimize application monitoring, alerting, and logging configurations to improve mean time to detect (MTTD) and mean time to resolve (MTTR).
• Python Automation: Develop, maintain, and enhance automated scripts (primarily in Python) to streamline routine operational tasks, reporting, health checks, and system recovery processes.
• Documentation: Create and maintain comprehensive documentation, runbooks, and knowledge base articles for application support procedures and recurring issues.

Collaboration & Prevention

• Cross-Functional Fixes: Collaborate closely with the Development and DevOps teams to provide clear technical feedback on recurring issues and implement permanent, scalable solutions.
• Proactive Maintenance: Identify potential system bottlenecks, performance degradation points, and areas prone to failure, recommending and implementing preventative measures.

⚙️ Required Qualifications

• Experience: 3 to 5 years of professional experience in Application Support, Production Support, Site Reliability Engineering (SRE), or a similar technical role.
• Python Expertise (Mandatory): Strong hands-on experience with Python scripting and programming, including the ability to read, debug, and modify application code.
• Operating Systems: Proficient working knowledge of Linux/Unix environments and shell scripting.
• Databases: Solid experience with relational (e.g., PostgreSQL, MySQL) and/or NoSQL (e.g., MongoDB, Redis) databases, focusing on query analysis and performance.
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We are seeking a highly motivated and creative individual to join our marketing team as a Digital Marketing Executive. The ideal candidate will be passionate about digital marketing, possess strong analytical skills, and have a good understanding of various digital marketing channels and techniques.

Key Responsibilities:

1. Social Media Management:

• Develop and implement social media strategies to increase brand awareness and engage with the target audience.
• Create and schedule engaging content across various social media platforms such as Facebook, Twitter, Instagram, LinkedIn, etc.
• Monitor social media channels for trends and opportunities to engage in relevant conversations.
• Analyze social media metrics and generate reports to track performance and optimize strategies.

1. Content Marketing:

• Collaborate with the content team to create compelling and SEO-friendly content for blogs, website, email campaigns, etc.
• Optimize content for search engines and ensure it aligns with the overall digital marketing strategy.
• Utilize content marketing tools and platforms to distribute content effectively and reach the target audience.

1. Email Marketing:

• Plan and execute email marketing campaigns to nurture leads, promote products/services, and drive conversions.
• Segment email lists based on demographics, behavior, etc., to deliver targeted and personalized campaigns.
• Monitor email deliverability, open rates, click-through rates, and other key metrics to optimize campaign performance.

1. SEO (Search Engine Optimization):

• Conduct keyword research to identify opportunities for improving website ranking and driving organic traffic.
• Optimize website content, meta tags, and other on-page elements to improve search engine visibility.
• Monitor website performance using SEO tools and make recommendations for continuous improvement.

1. Paid Advertising:

• Assist in managing paid advertising campaigns across platforms such as Google Ads, Facebook Ads, etc.
• Monitor campaign budgets, performance metrics, and ROI to optimize ad spend and achieve business goals.
• Stay updated on the latest trends and best practices in digital advertising.

Requirements:

• Bachelor's degree in Marketing, Communications, or related field.
• Proven experience or internship in digital marketing roles is a plus.
• Strong understanding of digital marketing concepts and techniques.
• Proficiency in social media management tools, email marketing platforms, and SEO tools.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a team in a fast-paced environment.
• Analytical mindset with the ability to interpret data and make data-driven decisions.
• Creative thinking and problem-solving skills.

• Minimum of 1-2  years of experience as a Full Stack Developer or similar role.
• Bachelor’s degree in Security, Computer Science, or a related field.
• Experience with  React.js, Node.js, Next.js, and JS libraries.
• Must have an understanding of web3 and blockchain fundamentals.
• An exceptional understanding of secure and scalable application development, including the full lifecycle of API microservices services, including authentication, API gateways, and versioning.
• Excellent analytical and time management skills.
• Ability to wear many hats and learn new technologies quickly.
• Solid knowledge of web architecture and design patterns.
• Good knowledge and understanding of Backend and Frontend technologies
• Hands-on experience in building REST API using NodeJs
• Excellent communication and teamwork skills
• Great attention to detail.

BANKIT Services Private Limited is an assisted B2C company. The vision of the company is to make “Millionaire Agents Network” (MAN) i.e. to maximize the number of agents who are able to make Rs. 10L as revenue in a year by delivering various BANKIT services. We are going towards our target of opening BANKIT outlets and KIOSKS at every city, every village even in remote areas of country to experience all the citizens the easiest, fastest & safest Digital payment platform and all the Digital services under one roof. In order to serve the under digital and under banked population in India, we have prepared an assisted agent led model which works to offer digital and financial services to the last mile. Banking and financial services along many value-added services are available for end customers through BANKIT channel partners in their neighborhood. Services like Domestic Money transfer, Cash Withdrawal, Prepaid Cards, Recharges, Bill Payments, Travel Bookings etc. are made available 24X7 through our proprietary web and mobile applications. These applications are made very user friendly as per the needs of the target users and are built using the state-of-the-art technology to make the transactions secure and instant.

Founded- 2010

Specialties - Domestic Money Transfer, Travel & Stay, Prepaid Cards, UPI, AEPS, BBPS, QR Code, Cash @ POS, Agent Mobile App, Money Remittance, Blockchain, Micro ATM, E-KYC, Merchant Network, FinTech Company, Digital India, and PAN CARD Center

About Role:

Full Stack Developer/Software Developer

Experience: 1+ years

Salary bracket- Industry Fit

Job Title: Java Developer

Job Type: Permanent/Contractual

Experience: 3+ years

Job Location: Bangalore, Mumbai, Gurgaon

Qualification: B. Tech, BE, MCA or higher

JOB DESCRIPTION:

• Design overall architecture of the web application.
• Work with UI designers, business users and other team members to develop web applications
• Define, develop and develop APIs
• Integrations with partner APIs and, Database Management
• Maintain quality and ensure responsiveness of applications
• Collaborate with the rest of the engineering team to design and launch new features.
• Maintain code integrity and organization
• Work closely with graphic designers.
• Understand and implement security and data protection
• Development experience for both mobile and desktop.

TECHNICAL SKILLS & EXPERIENCE:

• Proficient in JAVA with Spring Boot framework
• Proficient using relational databases such as MySQL
• Experience with cloud message APIs, REST APIs and usage of push notifications.
• Knowledge of code versioning tools such as Git, Mercurial or SVN
• Good understanding of collaboration tools
• Should be comfortable with Agile methodology and using Agile tools
• Good verbal and written communication skills
• Good problem-solving skills.

Bluespacelabs - Senior QA

Any location | 1-3 Years

Key Deliverables

• 1 to 3 years of experience in testing and automation
• Creating Testing methodologies, test strategy, test plans to evaluate the functional requirement and deliver the application with quality.
• Must have proven experience in testing and automation of web applications and mobile apps.
• Strong hands on experience in the automation framework selenium and appium.
• Experience in leading a team to perform automation testing using Selenium Java
• Product testing to validate the end-to-end functionality of the user stories.
• Functionality Testing should factor techniques to design test cases to ensure optimum test efficiency.
• API testing and automation and CI/CD
• Performed automation testing of API using automation frameworks like Restaaured, Postman.
• Creating and assisting the team to write Test Cases and Scripts
• Good understanding of the software architecture : Frontend MFE, MVC, Rest APIs
• Good leadership and communication skills

Testing Areas Coverage Expected

Unit Testing

Component Testing

• Micro-Frontend UI Components
• BFF Entities
• Biz Components
• Amazon MSK (Kafka) Configuration
• Persistent Data (read/write) Components
• Integration Testing
• System Testing

Functional Requirements

• End to End (User) Scenarios
• Browser Compatibility
• Usability

Non-Functional Requirements

• Performance
• Scalability
• Availability
• Reliability

Software and tools requirement

• Junit - Java
• JEST - Javasript/React
• JIRA - Bug Tracking
• Selenium with TestNG- UI Automation
• Appium with testing mobile apps
• RestAssured - REST API testing
• Traffic Parrot - Service virtualization
• Wiremock - API mocking
• Pact - Contract Testing
• Testcontainers - Containerized PostgreSQL/ MySQL
• Version Control - GitLab

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics