Social Media Marketer

Job Location: Bangalore/Mumbai

Exp: 3-10+ Yrs

Job Title: DevOps Engineer

About TradeLab:

TradeLab is a leading fintech technology provider, delivering cutting-edge solutions to brokers, banks, and fintech platforms. Our portfolio includes high-performance Order & Risk Management Systems (ORMS), seamless MetaTrader integrations, AI-driven customer engagement platforms such as PULSE LLaVA, and compliance-grade risk management solutions.

Key Responsibilities

• DevOps Strategy & Leadership
• Contribute to defining and executing the DevOps strategy for high-frequency trading and fintech platforms. Mentor junior engineers and collaborate with cross-functional teams to foster a culture of automation, scalability, and performance.
• Work closely with engineering and product teams to align infrastructure initiatives with business objectives.
• CI/CD and Infrastructure Automation Design and optimize CI/CD pipelines for ultra-low-latency trading systems.
• Implement Infrastructure as Code (IaC) practices using Terraform, Helm, Kubernetes, and automation frameworks.
• Establish best practices for release management and deployment in mission-critical environments.
• Cloud & On-Prem Infrastructure Management Manage hybrid infrastructure across AWS, GCP, and on-prem data centers ensuring high availability and fault tolerance.
• Implement networking strategies for low-latency trading, including routing and performance tuning.
• Drive cost optimization and scalability initiatives across multi-cloud environments.
• Performance Monitoring & Optimization Set up and maintain system performance monitoring using Prometheus, Grafana, and ELK stack. Implement alerting and automated remediation strategies for zero-downtime operations.
• Conduct root-cause analysis and performance tuning for systems handling millions of transactions per second.
• Security & Compliance Apply DevSecOps principles across all environments.
• Ensure compliance with financial regulations (SEBI and global standards) and maintain audit trails.
• Drive security automation, vulnerability management, and IAM policies.

Required Skills & Qualifications

• 3–8 years of experience in DevOps, with exposure to leadership or team mentoring.
• Strong expertise in CI/CD tools (Jenkins, GitLab CI/CD, ArgoCD). Hands-on experience with cloud platforms (AWS, GCP) and hybrid infrastructure.
• Proficiency in Kubernetes, Docker, and container orchestration. Solid experience with Terraform, Helm, and IaC principles.
• Strong Linux administration and networking fundamentals (TCP/IP, DNS, firewalls). Experience with monitoring tools (Prometheus, Grafana, ELK).
• Proficiency in scripting languages (Python, Bash, Go) for automation. Understanding of security best practices, IAM, and compliance frameworks.

Good to Have

• Exposure to ultra-low-latency trading infrastructure or high-frequency trading systems.
• Knowledge of FIX protocol, FPGA acceleration, or network optimization techniques.
• Familiarity with Redis, Nginx, or other real-time data handling technologies.
• Experience in advanced performance tuning for microsecond-level execution.

Why Join Us?

Work with a team that expects and delivers excellence. A culture where innovation and speed are rewarded. Limitless opportunities for growth—if you can handle the pace. Build systems that move markets and redefine fintech

Role: Video Editing & Motion Graphic

Location: Marol Mumbai

Experience: min 2 years of experience

Required:

Social media editing

Video editing

Motion editing

If anyone interested then apply through link:-  https://tiny.cc/NGtalent 

Title: Data Platform / Database Architect (Postgres + Kafka) — AI‑Ready Data Infrastructure

Location: Noida (Hybrid). Remote within IST±3 considered for exceptional candidates.

Employment: Full‑time

About Us

We are building a high‑throughput, audit‑friendly data platform that powers a SaaS for financial data automation and reconciliation. The stack blends OLTP (Postgres), streaming (Kafka/Debezium), and OLAP (ClickHouse/Snowflake/BigQuery), with hooks for AI use‑cases (vector search, feature store, RAG).

Role Summary

Own the end‑to‑end design and performance of our data platform—from multi‑tenant Postgres schemas to CDC pipelines and analytics stores—while laying the groundwork for AI‑powered product features.

What You’ll Do

• Design multi‑tenant Postgres schemas (partitioning, indexing, normalization, RLS), and define retention/archival strategies.  

• Make Postgres fast and reliable: EXPLAIN/ANALYZE, connection pooling, vacuum/bloat control, query/index tuning, replication.  

• Build event‑streaming/CDC with Kafka/Debezium (topics, partitions, schema registry), and deliver data to ClickHouse/Snowflake/BigQuery.  

• Model analytics layers (star/snowflake), orchestrate jobs (Airflow/Dagster), and implement dbt‑based transformations.  

• Establish observability and SLOs for data: query/queue metrics, tracing, alerting, capacity planning.  

• Implement data security: encryption, masking, tokenization of PII, IAM boundaries; contribute to PCI‑like audit posture.  

• Integrate AI plumbing: vector embeddings (pgvector/Milvus), basic feature‑store patterns (Feast), retrieval pipelines and metadata lineage.  

• Collaborate with backend/ML/product to review designs, coach engineers, write docs/runbooks, and lead migrations.

Must‑Have Qualifications

• 6+ years building high‑scale data platforms with deep PostgreSQL experience (partitioning, advanced indexing, query planning, replication/HA).  

• Hands‑on with Kafka (or equivalent) and Debezium/CDC patterns; schema registry (Avro/Protobuf) and exactly‑once/at‑least‑once tradeoffs.  

• One or more analytics engines at scale: ClickHouse, Snowflake, or BigQuery, plus strong SQL.  

• Python for data tooling (pydantic, SQLAlchemy, or similar); orchestration with Airflow or Dagster; transformations with dbt.  

• Solid cloud experience (AWS/GCP/Azure)—networking, security groups/IAM, secrets management, cost controls.  

• Pragmatic performance engineering mindset; excellent communication and documentation.

Nice‑to‑Have

• Vector/semantic search (pgvector/Milvus/Pinecone), feature store (Feast), or RAG data pipelines.  

• Experience in fintech‑style domains (reconciliation, ledgers, payments) and SOX/PCI‑like controls.  

• Infra‑as‑Code (Terraform), containerized services (Docker/K8s), and observability stacks (Prometheus/Grafana/OpenTelemetry).  

• Exposure to Go/Java for stream processors/consumers.  

• Lakehouse formats (Delta/Iceberg/Hudi).

Qualification: BE/B.Tech, M.SC, MCA.

Roles and Responsibilities:

•       Highly motivated Individual contributor.

•       Requirement Analysis and freezing of the scope.

•       Designing of the Architecture and Development approach.

•       Technical Design, Architecture and Landscape documentation.

•       Design and Code Reviews.

•       Subject Matter Expert for development/Architecture related queries.

•        Coordinating the QA(Unit, Integration and System) & BA team.

•       Customer related Queries, issues and Resolutions, Requirement Analysis, clarifications.

•       Identify the right solution and applying the same.

•       Code integrity – with the source control.

Primary Key Skills:

·        Total IT experience of at least 5 yrs spanned mainly over Microsoft range of Products and development platforms.

·        Should have executed at least two large scale projects as .NET Lead.

·        Should have at least 2 yrs. of experience as a Lead.

·        Proven record of handling the development right from Requirement Gathering to implementation and Support.

·        Managing the delivery and leading the team through all stages of the Development.

·        Exposure to Deployment, maintenance and support.

Problem solving and troubleshooting.

Good Communication Skills is a must.

We are looking for motivated individuals who are keen to work on Cloud or Big Data services or have worked on Cloud and Big Data. If you want to work in a start-up culture and are ready for the challenge, then join us on our exciting journey.

Responsibilities:

• Design, code and debug cloud-native applications.
• Evaluate and identify new technologies for implementation
• Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development and proposed solutions
• Write well designed, testable, efficient code
• Develop software verification plans and quality assurance procedures
• Serve as a subject matter expert

• 5+ years of relevant experience in software development

• Deep understanding of public cloud infrastructure (AWS, Azure or Google)

• Experience with large scale distributed systems

• Ability to troubleshoot distributed systems

• Prior experience with data encryption, TLS/SSL is a strong plus

• Experience with Docker and Kubernetes is a plus

• Deep experience with Java

• Excellent communication (writing, conversation, presentation) skills, consensus building, Quick learner
  Good to have experience in Production support - Tier 4
  
  Experience with these technologies are a plus: AWS, Microsoft Azure, Google Cloud, Cloudera, Snowflake, Mongo DB, Oracle, Databricks, Datastax, Confluent

• Actively engage with internal business teams to understand their challenges and deliver robust, data-driven solutions.
• Work alongside global counterparts to solve data-intensive problems using standard analytical frameworks and tools.
• Be encouraged and expected to innovate and be creative in your data analysis, problem-solving, and presentation of solutions.
• Network and collaborate with a broad range of internal business units to define and deliver joint solutions.
• Work alongside customers to leverage cutting-edge technology (machine learning, streaming analytics, and ‘real’ big data) to creatively solve problems and disrupt existing business models.

In this role, we are looking for:

• A problem-solving mindset with the ability to understand business challenges and how to apply your analytics expertise to solve them.
• The unique person who can present complex mathematical solutions in a simple manner that most will understand, including customers.
• An individual excited by innovation and new technology and eager to finds ways to employ these innovations in practice.
• A team mentality, empowered by the ability to work with a diverse set of individuals.

• A Bachelor’s degree in Data Science, Math, Statistics, Computer Science or related field with an emphasis on analytics.
• 5+ Years professional experience in a data scientist/analyst role or similar.
• Proficiency in your statistics/analytics/visualization tool of choice, but preferably in the Microsoft Azure Suite, including Azure ML Studio and PowerBI as well as R, Python, SQL.

• Excellent communication, organizational transformation, and leadership skills
• Demonstrated excellence in Data Science, Business Analytics and Engineering

Job Role:

• Build pixel-perfect, buttery smooth UIs across both mobile platforms.

• Leverage native APIs for deep integrations with both platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.

• Maintain and write clean code to ensure the product is of the highest quality.