Production Engineer

Solutions Architect - Data Engineering

Modern tech solutions advisory & 'futurify' consulting as a Searce lead fds (‘forward deployed solver’) architecting scalable data platforms and robust data engineering solutions that power intelligent insights and fuel AI innovation.

If you’re a tech-savvy, consultative seller with the brain of a strategist, the heart of a builder, and the charisma of a storyteller — we’ve got a seat for you at the front of the table.

You're not a sales lead. You're the transformation driver.

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

• Improver. Solver. Futurist.
• Great sense of humor.
• ‘Possible. It is.’ Mindset.
• Compassionate collaborator. Bold experimenter. Tireless iterator.
• Natural creativity that doesn’t just challenge the norm, but solves to design what’s better.
• Thinks in systems. Solves at scale.

This Isn’t for Everyone. But if you’re the kind who questions why things are done a certain way— and then identifies 3 better ways to do it — we’d love to chat with you.

Your Responsibilities

what you will wake up to solve.

You are not just a Solutions Architect; you are a futurifier of our data universe and the primary enabler of our AI ambitions. With a deep-seated passion for data engineering, you will architect and build the foundational data infrastructure that powers the customers entire data intelligence ecosystem.

As the Directly Responsible Individual (DRI) for our enterprise-grade data platforms, you own the outcome, end-to-end. You are the definitive solver for our customer's most complex data challenges, leveraging a powerful tech stack including Snowflake, Databricks, etc. and core GCP & AWS services (BigQuery, Spanner, Airflow, Kafka). This is a hands-on-keys role where you won't just design solutions—you'll build them, break them, and perfect them.

• Solution Design & Pre-sales Excellence:Collaborate with cross-functional teams, including sales, engineering, and operations, to ensure successful project delivery.
• Design Core Data Engineering: Master data modeling, architecting high-performance data ingestion pipelines and ensuring data quality and governance throughout the data lifecycle.
• Enable Cloud & AI: Design and implement solutions utilizing core GCP data services, building foundational data platforms that efficiently support advanced analytics and AI/ML initiatives.
• Optimize Performance & Cost: Continuously optimize data architectures and implementations for performance, efficiency, and cost-effectiveness within the cloud environment.
• Bridge Business & Tech: Translate complex business requirements into clear technical designs, providing technical leadership and guidance to data engineering teams.
• Stay Ahead of the Curve: Continuously research and evaluate new data technologies, architectural patterns, and industry trends to keep our data platforms at the cutting edge.

Functional Skills:

• Enterprise Data Architecture Design: Expert ability to design holistic, scalable, and resilient data architectures for complex enterprise environments.
• Cloud Data Platform Strategy: Proven capability to strategize, design, and implement cloud-native data platforms.
• Pre-Sales & Technical Storyteller: Crafts compelling, client-ready proposals, architectural decks, and technical demonstrations. Doesn't just present; shapes the strategic technical narrative behind every proposed solution.
• Advanced Data Modelling: Mastery in designing various data models for analytical, operational, and transactional use cases.
• Data Ingestion & Pipeline Orchestration: Strong expertise in designing and optimizing robust data ingestion and transformation pipelines.
• Stakeholder Communication: Exceptional skills in articulating complex technical concepts and architectural decisions to both technical and non-technical stakeholders.
• Performance & Cost Optimization: Adept at optimizing data solutions for performance, efficiency, and cost within a cloud environment.

Tech Superpowers:

• Cloud Data Mastery: You're a wizard at leveraging public cloud data services, with deep expertise in GCP (BigQuery, Spanner, etc.) and expert proficiency in modern data warehouse solutions like Snowflake.
• Data Engineering Core: Highly skilled in designing, implementing, and managing data workflows using tools like Apache Airflow and Apache Kafka. You're also an authority on advanced data modeling and ETL/ELT patterns.
• AI/ML Data Foundation: You instinctively design data pipelines and structures that efficiently feed and empower Machine Learning and Artificial Intelligence applications.
• Programming for Data: You have a strong command over key programming languages (Python, SQL) for scripting, automation, and building data processing applications.

Experience & Relevance:

• Architectural Leadership (8+ Years): You bring extensive experience (7+ years) specifically in a Solutions Architect role, focused on data engineering and platform building.
• Cloud Data Expertise: You have a proven track record of designing and implementing production-grade data solutions leveraging major public cloud platforms, with significant experience in Google Cloud Platform (GCP).
• Data Warehousing & Data Platform: Demonstrated hands-on experience in the end-to-end design, implementation, and optimization of modern data warehouses and comprehensive data platforms.
• Databricks & BigQuery Mastery: You possess significant practical experience with Databricks as a core data warehouse and GCP BigQuery for analytical workloads.
• Data Ingestion & Orchestration: Proven experience designing and implementing complex data ingestion pipelines and workflow orchestration using tools like Airflow and real-time streaming technologies like Kafka.
• AI/ML Data Enablement: Experience in building data foundations specifically geared towards supporting Machine Learning and Artificial Intelligence initiatives.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’.

Don’t Just Send a Resume. Send a Statement.

So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’

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. With a proven track record of successful deployments at top-tier brokerages and financial institutions, TradeLab combines scalability, regulatory alignment, and innovation to

redefine digital broking and empower clients in the capital markets ecosystem.

Role Overview

We are looking for a driven and proactive Business Development Manager based in Mumbai to support TradeLab’s business expansion across Western India. The role is strongly focused on prospecting, lead generation, and assisting in closing new business deals with

discount brokers, full-service brokers, banks, and fintech platforms. The ideal candidate should have foundational knowledge of capital markets/fintech and be eager to grow into a high impact

enterprise sales role.

Key Responsibilities

• Lead Generation & Prospecting: Identify and engage new potential clients aligned with TradeLab’s target segments (brokers, fintech platforms, banks).

• Sales Pipeline Support: Qualify leads, schedule product demos, participate in discussions, and support sales managers in progressing

• Client Outreach: Conduct outreach via emails, calls, LinkedIn, industry events, and partner networks to expand the top-of-funnel pipeline.

• Product Demonstrations: Assist in presenting TradeLab’s offerings to clients along with the product/solutions team.

• Proposal & Documentation Support: Prepare proposals, business decks, pitch materials, and basic commercial documents.

• Market Understanding: Stay updated on industry trends, competitor offerings, and regulatory changes like SEBI guidelines.

• CRM Management: Maintain up-to-date records of leads, interactions, proposals, and pipeline status using CRM tools (e.g., HubSpot/Salesforce).

• Event Representation: Represent TradeLab at industry meets, product demos, conferences, and networking engagements.

• Cross-Team Collaboration: Work closely with senior sales, product, and solutions teams to craft suitable value propositions for client requirements.

Must-Have Qualifications

• Experience: 2–4 years in B2B sales, business development, or inside sales within fintech, capital markets, SaaS, trading, or investment platforms.

• Industry Understanding: Basic understanding of trading platforms, brokers, capital market ecosystem, or fintech workflows.

• Communication Skills: Strong verbal and written communication skills, confident client- facing presence.

• Relationship Building: Ability to build rapport with key client stakeholders and maintain professional follow-ups.

• Target Orientation: Comfortable working in a target-driven, fast-paced environment.

• CRM Proficiency: Experience using CRM systems for tracking leads and pipeline management.

• Self-Driven Attitude: High ownership mindset with willingness to learn, grow, and handle responsibilities independently.

Good-to-Have Skills

• Exposure to trading systems (OMS, RMS) or fintech API-based platforms.

• Familiarity with SEBI market regulations and algo trading basics.

• Experience supporting enterprise sales cycles or solution-selling environments.

JD:

Role - Java FullStack Developer

Experience - 5+ Years

Location - Bangalore

Job description

• A Java Full Stack Developer is responsible for designing, developing and maintaining the full stack of an application using Java programming language
• They are expected to have expertise in both front-end and back-end development, as well as the ability to integrate the two
• Key responsibilities include: Design, develop, and maintain both client-side and server-side applications
• Write clean, efficient, and well-documented code
• Develop and implement RESTful APIs
• Collaborate with other developers to integrate user-facing elements with server side logic
• Test and debug applications
• Stay up to date with emerging trends and technologies in web development
• Requirements for the role include: Strong experience with Java and Java-based web development frameworks
• Experience in front-end technologies such as HTML, CSS, JavaScript, and Angular or React
• Experience with databases (eg, MySQL, MongoDB) and ORM (Object Relational Mapping) frameworks
• Familiarity with Agile software development methodologies
• Good understanding of RESTful API design
• Ability to write well-documented, reusable, and testable code

Job Title: DevOps SDE llI

Job Summary

Porter seeks an experienced cloud and DevOps engineer to join our infrastructure platform team. This team is responsible for the organization's cloud platform, CI/CD, and observability infrastructure. As part of this team, you will be responsible for providing a scalable, developer-friendly cloud environment by participating in the design, creation, and implementation of automated processes and architectures to achieve our vision of an ideal cloud platform.

Responsibilities and Duties

In this role, you will

• Own and operate our application stack and AWS infrastructure to orchestrate and manage our applications.
• Support our application teams using AWS by provisioning new infrastructure and contributing to the maintenance and enhancement of existing infrastructure.
• Build out and improve our observability infrastructure.
• Set up automated auditing processes and improve our applications' security posture.
• Participate in troubleshooting infrastructure issues and preparing root cause analysis reports.
• Develop and maintain our internal tooling and automation to manage the lifecycle of our applications, from provisioning to deployment, zero-downtime and canary updates, service discovery, container orchestration, and general operational health.
• Continuously improve our build pipelines, automated deployments, and automated testing.
• Propose, participate in, and document proof of concept projects to improve our infrastructure, security, and observability.

Qualifications and Skills

Hard requirements for this role:

• 5+ years of experience as a DevOps / Infrastructure engineer on AWS.
• Experience with git, CI / CD, and Docker. (We use GitHub, GitHub actions, Jenkins, ECS and Kubernetes).
• Experience in working with infrastructure as code (Terraform/CloudFormation).
• Linux and networking administration experience.
• Strong Linux Shell scripting experience.
• Experience with one programming language and cloud provider SDKs. (Python + boto3 is preferred)
• Experience with configuration management tools like Ansible and Packer.
• Experience with container orchestration tools. (Kubernetes/ECS).
• Database administration experience and the ability to write intermediate-level SQL queries. (We use Postgres)
• AWS SysOps administrator + Developer certification or equivalent knowledge

Good to have:

• Experience working with ELK stack.
• Experience supporting JVM applications.
• Experience working with APM tools is good to have. (We use datadog)
• Experience working in a XaaC environment. (Packer, Ansible/Chef, Terraform/Cloudformation, Helm/Kustomise, Open policy agent/Sentinel)
• Experience working with security tools. (AWS Security Hub/Inspector/GuardDuty)
• Experience with JIRA/Jira help desk.

We are looking for an exceptional Software Developer for our Data Engineering India team who can-

contribute to building a world-class big data engineering stack that will be used to fuel us

Analytics and Machine Learning products. This person will be contributing to the architecture,

operation, and enhancement of:

Our petabyte-scale data platform with a key focus on finding solutions that can support

Analytics and Machine Learning product roadmap. Everyday terabytes of ingested data

need to be processed and made available for querying and insights extraction for

various use cases.

About the Organisation:

- It provides a dynamic, fun workplace filled with passionate individuals. We are at the cutting edge of advertising technology and there is never a dull moment at work.

- We have a truly global footprint, with our headquarters in Singapore and offices in Australia, United States, Germany, United Kingdom, and India.

- You will gain work experience in a global environment. We speak over 20 different languages, from more than 16 different nationalities and over 42% of our staff are multilingual.

Job Description

Position:
Software Developer, Data Engineering team
Location: Pune(Initially 100% Remote due to Covid 19 for coming 1 year)

• Our bespoke Machine Learning pipelines. This will also provide opportunities to

contribute to the prototyping, building, and deployment of Machine Learning models.

You:

• Have at least 4+ years’ Experience.
• Deep technical understanding of Java or Golang.
• Production experience with Python is a big plus, extremely valuable supporting skill for

us.

• Exposure to modern Big Data tech: Cassandra/Scylla, Kafka, Ceph, the Hadoop Stack,

Spark, Flume, Hive, Druid etc… while at the same time understanding that certain

problems may require completely novel solutions.

• Exposure to one or more modern ML tech stacks: Spark ML-Lib, TensorFlow, Keras,

GCP ML Stack, AWS Sagemaker - is a plus.

• Experience includes working in Agile/Lean model
• Experience with supporting and troubleshooting large systems
• Exposure to configuration management tools such as Ansible or Salt
• Exposure to IAAS platforms such as AWS, GCP, Azure…
• Good addition - Experience working with large-scale data
• Good addition - Good to have experience architecting, developing, and operating data

warehouses, big data analytics platforms, and high velocity data pipelines

**** Not looking for a Big Data Developer / Hadoop Developer

Exp:1-2.9 yrs 

Notice period: Immediate to 15days 

Mode of interview: 1 written test + 1 Video technical interview
Job description:

• Strong fundamentals in functional testing(manual) 
• Experience in any tools such : Combo 1 Selenium or Cucumber or Appium, Mobile app testing ; API
• Hands-on experience in Java - Mandatory 
• Effective interpersonal skills. 

Note : We are looking for the 1-2.9 years of experience with automation ( selenium ) + API Automation ( postman, Soap , rest api or any ) + core java ( coding in java )