Compliance Officer- Corporate

We are looking for a Senior Mobile Developer with deep React Native expertise to lead feature development on our investor-facing and advisor-facing mobile applications. You will own critical mobile modules end-to-end — from architecture through App Store release — and actively integrate AI capabilities into the mobile experience.

Key Responsibilities

●    Design and develop high-quality, production-grade React Native features for iOS and Android apps serving retail investors and wealth advisors.

●    Own module-level architecture decisions: navigation, state management, offline handling, performance optimisation, and security.

●    Integrate with backend APIs for real-time portfolio data, transaction processing, KYC workflows (Digilocker, V-CIP, eSign), UPI, and payment flows.

●    Implement AI-powered mobile features: intelligent recommendations, conversational interfaces, AI-assisted portfolio insights, and smart alerts.

●    Write unit tests, integration tests, and E2E tests; maintain high coverage on critical modules.

●    Conduct thorough code reviews; mentor junior and mid-level mobile engineers.

●    Optimise app performance: startup time, frame rates, memory profiling, and battery usage.

●    Manage app release pipelines: CI/CD, TestFlight/Play Console beta, App Store/Play Store deployment, and OTA updates.

●    Collaborate with Product, Design (Figma), and Backend teams in Agile sprints.

Required Qualifications

●    4–8 years of mobile development experience with 3+ years in production React Native apps.

●    Strong JavaScript/TypeScript fundamentals; deep understanding of React hooks, context, and performance patterns.

●    Experience with state management (Redux Toolkit, Zustand, or Jotai) and navigation (React Navigation v6+).

●    Hands-on with native modules/bridging when React Native abstractions are insufficient.

●    Experience with mobile CI/CD (Fastlane, GitHub Actions, Bitrise, or equivalent).

●    Knowledge of mobile app security: certificate pinning, biometric auth, secure storage, jailbreak/root detection.

●    B.Tech / B.E. in Computer Science or equivalent from a reputed institution.

Good to Have

●    Experience in fintech or BFSI mobile apps — MF transaction apps, trading apps, insurance apps, or payment apps.

●    Familiarity with SEBI/AMFI/IRDAI compliance requirements for digital financial products.

●    Exposure to LLM integration on mobile: streaming responses or AI assistant UX patterns.

●    Experience with React Native New Architecture (Fabric, JSI, TurboModules).

AI Expectations

●    Use AI coding assistants (GitHub Copilot, Cursor, Claude) as standard daily practice.

E-Commerce Executive

Industry: FMCG - Food Products (D2C Brand)

Employment Type: Full-Time, Permanent

Roles and Responsibilities:

1. Online Catalog Management

Ensure menu and product catalog hygiene across all e-commerce platforms.

Update product listings, descriptions, pricing, and availability.

Regularly audit online catalogs to identify and resolve bugs or inconsistencies.

2. E-Commerce Platform Operations

Handle operations on platforms like Amazon, Shopify, Big Basket, Swiggy Instamart, Blinkit, and others.

Liaise with platform points of contact (POCs) to align on promotions, campaigns, and strategies.

Coordinate with platforms to resolve technical or operational issues promptly.

3. Sales and Performance Optimization

Meet and exceed sales targets through data-driven strategies and promotions.

Formulate and execute marketing strategies to boost product visibility and increase sales.

Research and on board new e-commerce portals to expand the brand’s digital footprint.

Analyse sales trends, identify gaps, and optimize listings for maximum visibility and conversion.

4. Customer Coordination

Address and resolve customer queries and complaints across e-commerce platforms.

Collaborate with customer service teams to enhance the buying experience and build customer loyalty.

Implement strategies for improving customer satisfaction and online reviews.

5. Logistics and Order Fulfilment

Coordinate with production, warehousing, and logistics teams to ensure seamless order fulfilment.

Track and resolve issues related to order delays, returns, and cancellations.

Monitor inventory levels to prevent stock outs or overstocking.

6. Online Reputation Management

Monitor and manage the brand’s online reputation across all platforms.

Respond to customer feedback and reviews professionally and promptly.

Work with the marketing team to implement strategies for maintaining a positive brand image.

7. Data Analysis and Reporting

Use tools like Excel to analyse sales data, customer trends, and platform performance.

Generate and present weekly and monthly performance reports.

Provide actionable insights to optimize campaigns and product placements.

8. Collaboration and Coordination

Work closely with internal teams, including marketing, production, warehousing, and logistics.

Partner with digital media teams to develop promotional campaigns for e-commerce platforms.

Stay updated on the latest trends in the e-commerce landscape and implement best practices.

Desired Candidate Profile:

Experience: Minimum 2 years in e-commerce operations, preferably in FMCG or D2C sectors.

Platforms Expertise: Hands-on experience with Amazon, Shopify, Swiggy Instamart, Flipkart, and similar platforms.

Skills:

Strong proficiency in Microsoft Excel for data analysis and reporting.

Excellent organizational and multitasking abilities.

Strong communication skills for internal and external coordination.

Analytical mind-set to identify trends and formulate data-driven strategies.

Education: Bachelor’s degree (B.B.A/B.M.S or equivalent preferred).

We are pleased to inform you that we have multiple job openings available exclusively for local candidates from Morbi or nearby areas.

If you or anyone in your network residing in Morbi is actively seeking a job opportunity, we encourage you to apply or share this information further.

Location: Morbi

1. Passive Network Infrastructure Management

o   Perform installation, termination, and testing of network (LAN) cabling – Cat6, Cat6A, and Fiber Optic cables for small and routine network requirements.

o   Conduct network point verification, patch panel management, and labelling as per IT standards.

o   Responsible to manage the larger project of Network Cabling work outsourced to Vendor, and ensure that the installation has been done as per the industry’s standard & Simpolo requirements.

o   Handle basic switch port patching and un-patching based on IT team instructions.

o   Responsible for proper network rack setup, dressing, and housekeeping.

o   Identify and rectify basic cabling faults (damaged cable, patch cord issues, etc.).

o   Coordinate with OEMs and vendors during cabling upgrades or new rollouts.

2. CCTV Surveillance Setup Support

o   Install and configure CCTV cameras (IP and Analog) for small and routine requirements.

o   Responsible to manage the larger project of CCTV work outsourced to Vendor, and ensure that the installation has been done as per the Simpolo requirements and standard.

o   Perform daily health check and publish the report to management.

o   Ensure proper cabling, power supply, and network connectivity for CCTV devices.

o   Identify and rectify the CCTV related issue and ensure highes uptime of all the CCTV setup.

o   Coordinate with the surveillance team or vendors for DVR/NVR installation, configuration, and troubleshooting.

o   Perform physical checks and routine maintenance of cameras and cabling.

o   Document camera locations and maintain an updated asset inventory for CCTV equipment.

3. Asset Management

o   Perform asset tagging for all passive networking and CCTV-related equipment (IO ports, patch panels, switches, NVRs, cameras, etc.).

o   Maintain accurate and up-to-date asset records in the company’s IT Asset Management tool.

o   Update the system with new installations, replacements, or movement of assets.

o   Coordinate with the central IT asset team for audit, verification, and tagging activities.

4. Routine Maintenance & Support

o   Conduct regular health checks of passive network components (IOs, patch cords, racks, cables).

o   Perform preventive maintenance activities for CCTV and networking setup.

o   Support IT/network team during downtime, new setups, or relocations.

o   Assist in warehouse, plant, or office expansions involving network/CCTV setup.

5.2.5. Reporting & Documentation

o   Maintain accurate records of all cabling and CCTV-related work.

o   Update layout diagrams and port utilization records as instructed.

o   Escalate unresolved or critical issues to the internal IT team/vendor as per defined process.

Job Summary

We are seeking a highly skilled and motivated Linux Device Driver Engineer with strong C/C++ programming skills and hands-on experience in Linux driver development. The ideal candidate will have a proven track record of working with kernel modules and hardware interfaces, and be comfortable debugging and optimizing low-level system software.

Key Responsibilities

• Porting existing Linux device drivers to new platforms, SoCs, and kernel versions.
• New driver development for custom hardware components and peripherals.
• Debugging kernel and driver-level issues using industry-standard tools.
• Integration & bring-up of hardware with Linux-based systems.
• Collaborate with hardware teams to interpret specifications and enable device functionality.
• Optimize drivers for performance, reliability, and resource efficiency.
• Write clear technical documentation for driver APIs, design, and integration steps.

Required Skills & Qualifications

• Bachelor’s/Master’s in Computer Science, Electronics, or related field.
• 4 to 8 years of professional experience in software development.
• Strong proficiency in C/C++ programming and memory management.
• Hands-on experience with any Linux device driver (character, block, network, USB, PCIe, I2C, SPI, etc.).
• Good understanding of Linux kernel architecture, module programming, and build systems.
• Knowledge of interrupt handling, DMA, and device tree configuration.
• Familiarity with cross-compilation and embedded Linux toolchains.
• Experience with debugging tools (GDB, ftrace, perf, printk, etc.).
• Version control experience (Git).

Preferred Skills

• Exposure to multiple driver types (networking, storage, multimedia, etc.).
• Experience with Yocto, Buildroot, or similar embedded Linux environments.
• Knowledge of real-time Linux and RT patches.
• Scripting knowledge (Python, Bash) for testing and automation.

Soft Skills

• Strong analytical and debugging skills.
• Good communication and collaboration abilities.
• Ability to work independently and take ownership of deliverables.

Invesco is seeking a skilled React.js Developer with a strong background in data analytics to join our team. The Engineer within the Enterprise Risk function will manage complex data engineering, analysis, and programming tasks in support of the execution of the Enterprise Risk and Internal Audit activities and projects as defined by the Enterprise Risk Analytics leadership team. The Engineer will manage and streamline data extraction, transformation, and load processes, design use cases, analyze data, and apply creativity and data science techniques to deliver effective and efficient solutions enabling greater risk intelligence and insights.

Key Responsibilities / Duties:

• Acquire, transform, and manage data supporting risk and control-related activities
• Design, build, and maintain data analytics and data science tools supporting individual tasks and projects.
• Maintain programming code, software packages, and databases to support ongoing analytics activities.
• Exercise judgment in determining the application of data analytics for business processes, including the identification and location of data sources.
• Actively discover data analytics capabilities within the firm and leverage such capabilities where possible.
• Introduce new data analytics-related tools and technologies to business partners and consumers.
• Support business partners, data analysts, consumers’ understanding of product logic and related system processes
• Share learnings and alternative techniques with other Engineers and Data Analysts.
• Perform other duties and special projects as assigned by the Enterprise Risk Analytics leadership team and other leaders across Enterprise Risk and Internal Audit.
• Actively contribute to developing a culture of innovation within the department and risk and control awareness throughout the organization.
• Keep Head of Data Science & Engineering and departmental leadership informed of activities.
  
  

Work Experience / Knowledge:

• Minimum 5 years of experience in data analysis, data management, software development or data-related risk management roles; previous experience in programming will be considered.
• Experience within the financial services sector preferred
  
  

Skills / Other Personal Attributes Required:

• Proactive problem solver with the ability to identify, design, and deliver solutions based on high level objectives and detailed requirements. Thoroughly identify and investigate issues and determine the appropriate course of action
• Excellent in code development supporting data analytics and visualization, preferably programming languages and libraries such as JavaScript, R, Python, NextUI, ReactUI, Shiny, Streamlit, Plotly and D3.js
• Excellent with data extraction, transformation, and load processes (ETL), structured query language (SQL), and database management. 
• Strong self-learner to continuously develop new technical capabilities to become more efficient and productive
• Experience using end user data analytics software such as Tableau, PowerBI, SAS, and Excel a plus
• Proficient with various disciplines of data science, such as machine learning, natural language processing and network science
• Experience with end-to-end implementation of web applications on AWS, including using services such as EC2, EKS, RDS, ALB, Route53 and Airflow a plus
• Self-starter and motivated; must be able to work without frequent direct supervision
• Proficient with Microsoft Office applications (Teams, Outlook, MS Word, Excel, PowerPoint etc.)
• Excellent analytical and problem-solving skills
• Strong project management and administrative skills
• Strong written and verbal communication skills (English)
• Results-oriented and comfortable as an individual contributor on specific assignments
• Ability to handle confidential information and communicate clearly with individuals at a wide range of levels on sensitive matters
• Demonstrated ability to work in a diverse, cross-functional, and international environment
• Adaptable and comfortable with changing environment
• Demonstrates high professional ethics
  
  

Formal Education:

• Bachelor’s degree in Information Systems, Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, or Statistics preferred. Other technology or quantitative finance-related degrees considered depending upon relevant experience
• MBA, Master’s degree in Information Systems, Computer Science, Mathematics, Statistics, Data Science, or Finance a plus
  
  

License / Registration / Certification:

• Professional data science, analytics, business intelligence, visualization, and/or development designation (e.g., CAP, CBIP, or other relevant product-specific certificates) or actively pursuing the completion of such designation preferred
• Other certifications considered depending on domain and relevant experience
  
  

Working Conditions:

Potential for up to 10% domestic and international travel

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data platforms at Petabyte scale. Our customers are Fortune 500 companies including Asia's largest telecom company, a unicorn fintech startup of India, and many more. We are lean, hungry, customer-obsessed, and growing fast. Our Solutions team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.

We are building software that can provide insights into companies' data operations and allows them to focus on delivering data reliably with speed and effectiveness. Join us in building an industry-leading data observability platform that focuses on ensuring data reliability from every spectrum (compute, data and pipeline) of a cloud or on-premise data platform.

Position Summary-

This role will support the customer implementation of a data quality and reliability product. The candidate is expected to install the product in the client environment, manage proof of concepts with prospects, and become a product expert and troubleshoot post installation, production issues. The role will have significant interaction with the client data engineering team and the candidate is expected to have good communication skills.

Required experience

1. 6-7 years experience providing engineering support to data domain/pipelines/data engineers.
2. Experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
3. Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
4. Basic understanding of SQL
5. Experience working with technologies like S3, Kubernetes experience preferred.
6. Databricks/Hadoop/Kafka experience preferred but not required

• 20% - Design the user flows and mockups basis the product requirements, which would be defined by the founders and shared as inputs by the early users. Key features we are planning to build in the coming months: Forms and Social posting.
• 50% - Design the UI mockups based on the user flows defined above to clearly illustrate the design and functionality of the product. 
• 30% - Create industry and scenario-specific templates that can be readily used by users who are coming on the platform.
• Other short-term responsibilities: Create email and web designs for clients, as part of the product and services business.

As DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to work on, helping to enhance our product performance and reliability.

Responsibilities:

• Build & operate infrastructure to support website, backed cluster, ML projects in the organization.
• Helping teams become more autonomous and allowing the Operation team to focus on improving the infrastructure and optimizing processes.
• Delivering system management tooling to the engineering teams.
• Working on your own applications which will be used internally.
• Contributing to open source projects that we are using (or that we may start).
• Be an advocate for engineering best practices in and out of the company.
• Organizing tech talks and participating in meetups and representing Box8 at industry events.
• Sharing pager duty for the rare instances of something serious happening.
• Collaborate with other developers to understand & setup tooling needed for Continuous Integration/Delivery/Deployment (CI/CD) practices.

Requirements:

• 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing amounts of traffic and new product requirements.
• Ruby On Rails or Python and Bash/Shell skills.
• Experience managing complex systems at scale.
• Experience with Docker, rkt or similar container engine.
• Experience with Kubernetes or similar clustering solutions.
• Experience with tools such as Ansible or Chef Understanding of the importance of smart metrics and alerting.
• Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch).
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience in working on linux based servers.
• Managing large scale production grade infrastructure on AWS Cloud.
• Good Knowledge on scripting languages like ruby, python or bash.
• Experience in creating in deployment pipeline from scratch.
• Expertise in any of the CI tools, preferably Jenkins.
• Good knowledge of docker containers and its usage.
• Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu.

Good to have:

• Knowledge of Ruby on Rails based applications and its deployment methodologies.
• Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
• Extra Points For Experience With Front-end development NewRelic GCP Kafka, Elasticsearch.