Assistant Sales Manager

Strong Solution Architect – Linux Platforms & Virtualization profiles

Mandatory (Experience 1) – Must have 8+ years of experience in Linux platform engineering, infrastructure, or architecture roles.

Mandatory (Experience 2) – Must have deep expertise in Linux operating systems (Red Hat Enterprise Linux, Ubuntu), including system administration, kernel tuning, and performance optimization.

Mandatory (Experience 3) – Must have strong experience with virtualization technologies (VMware vSphere, KVM, or Hyper-V) and architecting enterprise-grade virtualization environments.

Mandatory (Experience 4) – Must have experience defining high availability (HA), disaster recovery (DR), and business continuity strategies.

Mandatory (Experience 5) – Must have experience with automation tools (Ansible, Terraform) and scripting (Bash/Python), along with familiarity in containerization (Docker) and orchestration (Kubernetes).

Mandatory (Experience 6) – Must have strong knowledge of networking, storage systems, and security hardening/compliance, with experience in Agile or DevOps-driven environments.

Mandatory (Skill) – Must have excellent problem-solving, communication, and stakeholder management skills.

• Functional Testing (Performance, Security, etc)
• Nonfunctional Testing
• Systems Integration testing
• Regression Testing
• Cross-device/platform testing
• Upgrade / Cross version testing

Required Qualifications –

• Computer Science or Engineering degree or equivalent from recognized institute/s.

Desired Skills –

• Practical knowledge of software development lifecycles, including specification, documentation, and quality assurance
• About 2 – 4 years of experience in software design, planning, and development
• Knowledge of Java and strong object-oriented development
• Experience in hands-on Selenium automation test case development
• Familiarity with Android and iOS mobile application development is preferred
• Knowledge of Ant, JUnit, and Appium Mobile Application Automation framework is strongly preferred
• Familiarity with software development tools such as Jenkins, bitbucket, etc
• Great attention to detail
• Work well in a tightly integrated development team
• Good communication & presentation skills

Role: Full-Time, Long-Term Required: Python, SQL Preferred: Experience with financial or crypto data

OVERVIEW

We are seeking a data engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build robust, production-grade data infrastructure and grow with a small, focused team. You will own the data layer that feeds our machine learning pipeline—from ingestion and validation through transformation, storage, and delivery.

The ideal candidate is meticulous about data quality, thinks deeply about failure modes, and builds systems that run reliably without constant attention. You understand that downstream ML models are only as good as the data they consume.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency. You write clean, maintainable code for data pipelines—not throwaway scripts. Comfortable with Pandas, NumPy, and their performance characteristics. You know when to use Python versus push computation to the database.

SQL (Required): Advanced SQL skills. Complex queries, query optimization, schema design, execution plans. PostgreSQL experience strongly preferred. You think about indexing, partitioning, and query performance as second nature.

Data Pipeline Design (Required): You build pipelines that handle real-world messiness gracefully. You understand idempotency, exactly-once semantics, backfill strategies, and incremental versus full recomputation tradeoffs. You design for failure—what happens when an upstream source is late, returns malformed data, or goes down entirely. Experience with workflow orchestration required: Airflow, Prefect, Dagster, or similar.

Data Quality (Required): You treat data quality as a first-class concern. You implement validation checks, anomaly detection, and monitoring. You know the difference between data that is missing versus data that should not exist. You build systems that catch problems before they propagate downstream.

WHAT YOU WILL BUILD

Data Ingestion: Pipelines pulling from diverse sources—crypto exchanges, traditional market feeds, on-chain data, alternative data. Handling rate limits, API quirks, authentication, and source-specific idiosyncrasies.

Data Validation: Checks ensuring completeness, consistency, and correctness. Schema validation, range checks, freshness monitoring, cross-source reconciliation.

Transformation Layer: Converting raw data into clean, analysis-ready formats. Time series alignment, handling different frequencies and timezones, managing gaps.

Storage and Access: Schema design optimized for both write patterns (ingestion) and read patterns (ML training, feature computation). Data lifecycle and retention management.

Monitoring and Alerting: Observability into pipeline health. Knowing when something breaks before it affects downstream systems.

DOMAIN EXPERIENCE

Preference for candidates with experience in financial or crypto data—understanding market data conventions, exchange-specific quirks, and point-in-time correctness. You know why look-ahead bias is dangerous and how to prevent it.

Time series data at scale—hundreds of symbols with years of history, multiple frequencies, derived features. You understand temporal joins, windowed computations, and time-aligned data challenges.

High-dimensional feature stores—we work with hundreds of thousands of derived features. Experience managing, versioning, and serving large feature sets is valuable.

ENGINEERING STANDARDS

Reliability: Pipelines run unattended. Failures are graceful with clear errors, not silent corruption. Recovery is straightforward.

Reproducibility: Same inputs and code version produce identical outputs. You version schemas, track lineage, and can reconstruct historical states.

Documentation: Schemas, data dictionaries, pipeline dependencies, operational runbooks. Others can understand and maintain your systems.

Testing: You write tests for pipelines—validation logic, transformation correctness, edge cases. Untested pipelines are broken pipelines waiting to happen.

TECHNICAL ENVIRONMENT

PostgreSQL, Python, workflow orchestration (flexible on tool), cloud infrastructure (GCP preferred but flexible), Git.

WHAT WE ARE LOOKING FOR

Attention to Detail: You notice when something is slightly off and investigate rather than ignore.

Defensive Thinking: You assume sources will send bad data, APIs will fail, schemas will change. You build accordingly.

Self-Direction: You identify problems, propose solutions, and execute without waiting to be told.

Long-Term Orientation: You build systems you will maintain for years.

Communication: You document clearly, explain data issues to non-engineers, and surface problems early.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Engineering. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a data pipeline you built and maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Job Title: Business Analyst – Fintech Domain (Mumbai Only)

Location: Mumbai, India

Experience: 5 to 10 Years

Domain: Fintech (Commodity domain exposure will be provided)

Education: Graduate/Postgraduate from a Premium Institute (Tier 1 preferred)

About the Role:

We are looking for an experienced Business Analyst with 5–10 years of proven experience in the Fintech domain. This role is ideal for candidates who have a strong foundation in business analysis and are keen to be groomed into the Commodity domain. You will work closely with cross-functional teams to drive bespoke application development and deliver high-quality, domain-aligned solutions.

Key Responsibilities:

• Collaborate with stakeholders to gather, analyze, and document detailed business and functional requirements.
• Work on bespoke application development – from requirement elicitation to testing and go-live support.
• Translate business needs into functional specifications and user stories.
• Participate in solution design, data mapping, and system integration discussions.
• Conduct UAT planning, execution, and post-production validation.
• Continuously identify process improvement opportunities and recommend solutions.

Required Skills & Qualifications:

• Bachelor's/Master’s degree from a Premium Institute (Tier 1 background preferred).
• 5–10 years of relevant experience as a Business Analyst in Fintech/Banking/Financial Services.
• Strong understanding of BA processes – requirement

Location Constraint:

• Only candidates currently based in Mumbai will be considered.
• Profiles from Pune or other locations will not be entertained.

Role - Operations Head

Company - Ankit Roadways

Salary Range - 20-25k

Location - Telibandha Raipur

Job Responsibilities :

Develop a monitoring system and oversight tool to ensure the tracking of the software's data is standardized

Planning, organizing, and managing subordinate staff members ensures work is completed and consistent with company standards

Client handling. Provide assistance to vendors/clients as and when required

Generate and maintain a record of purchase/sales bills and vouchers, including advance vouchers

Coordinate with different departments, Accounts and Logistics for daily operations

Qualification/Skills :

Good Communication Skills

Ability to work well with team members and navigate stressful situations.

Logical reasoning and problem-solving skills

Experience Requirement : 

2+ years of experience working in logistics or transportation operations

• Design collaterals for our performance marketing team across multiple display networks, social media, and native platforms.
• Execute our visual strategy and calendar to be deployed across all digital channels.
• Work with our copywriter to conceptualize compelling designs that increase the brand's overall reach, engagement, and conversions to sales.
• Work on design collaterals like social media creatives, videos, infographics, blog & amp; web banners, emails, landing pages, etc.
• Optimize designs and visual language to match the relevant channel requirements but also maintain our overall brand tone.
• Monitor and implement relevant digital design trends to keep our brand communication engaging and up-to-date with industry standards.

• 3 - 5 years of experience designing digital content and marketing collaterals, with a good portfolio of work.
• Has a clean visual design sense with good conceptual, typography, grid, and illustration skills.
• Animation and video editing skills will be an added advantage, but not mandatory.
• Can work independently and in a team to manage multiple projects and aggressive deadlines.
• Ability to work in a fast-paced environment with high volumes.
• Exceptional attention-to-detail.
• Must be proficient in Adobe Creative Suite.
• Understand competitive and best-in-class design practices for digital content.
• Ability to uncover digital design trends and implement them wherever required.