Automation Engineer-Quality

Director - Data engineering

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.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

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.

hiring for the position of Backend Developer / Senior Backend Developer responsible for managing back-end services and the interchange of data between the server and the users.

Your primary focus will be the development of all server side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.

We are looking to recruit a candidate for a role that will require:

• Create and consume restful APIs
• Design, develop, and maintain internal and external applications
• Build efficient, testable, and reusable modules
• Write high quality, structured application/interface code and documentation
• Identify solutions through research and collaboration that resolves the root of problems as they arise
• Define functional and technical requirements for application software to develop skills and knowledge
• Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality
• Contribute in all phases of the development lifecycle

Requirement

∙ Proficient in Node.JS

∙ 2+ years’ experience designing, querying, and updating databases in MySQL/nosql 

∙ Passion for best design and coding practices and a desire to develop new bold ideas

∙ Good to have knowledge of AWS, Redis, ElasticSearch

Education: Min. Graduate in related discipline

Work experience: 2 years relevant experience

Tasks:

·      You will take part in the design of the architecture and the development of modern software-based applications in the back-end (Node.JS, TypeScript, Nest.JS)

·      You support the technological conception, programming and implementation of new features

·      You help manage IoT-to-Cloud services, Microservices, Kubernetes and Docker on GCP

Requirements:

·      Bachelor or Master student in an IT-related field of study

·      Ability to holistically conceive applications in multiple technologies in the backend

·      Experience in agile software development with JavaScript, TypeScript, Node.JS and ideally Nest.JS

·      First experiences in Cloud (AWS/Azure/GCP) and Docker

·       

Nice to Have:

·      Experience with GraphQL, Microservices, Kubernetes

·      Understanding of IoT device management and message brokers like AMQP or MQTT

Benefits:

·      A responsible position in a fast-growing and highly innovative start-up

·      An agile and diverse team with colleagues from all over the world

·      English speaking open work environment, with flat hierarchies and short decision-making paths

·      Advanced technology stack leveraging cutting-edge IoT hardware and software

·      Creative freedom for own ideas, projects and personal development

·      Team building, learning and start-up events

Mandatory

Exposure to the Trading and financial investment banking domain

All technical competencies are mandatory, and no relaxations/exceptions can be given.

Technical skills

Cloud computing (IaaS, PaaS, SaaS) -preferably in AWS

Compute/Container/Orchestration technologies (Docker, Kubernetes, ECS, EKS, Lambda/Serverless etc.)

Microservices & multi-tier architectures

DevOps/CI/CD (GIT/Bitbucket, Maven, Gradle, Jenkins, Sonar) GitLab is preferable

Java (Core & EE, Spring Boot, Spring MVC, Spring Cloud) & Python

RDBMS systems sucah as MySQL , Postgres and NoSQL, Storage Technologies (S3, EBS etc.)

API – GraphQL, REST, API Gateway

Integration and events/messaging technologies (Kafka, RabbitmQ, SNS, SQS)

Caching Solutions such as Elasticache/Redis, Hazelcast, EHCache

Observability and monitoring (Dynatrace, Cloud Watch, Grafana, Splunk, Datadog)

Very good understanding on Agile software releases and hands-on

Experience in project management tools like JIRA

Educational Qualification

Bachelor’s degree in computer science engineering/ECE/EEE, IT or MCA, MSc Computer Science

Position Overview:

We seek a talented and experienced professional to serve as the Head of Engineering and a Senior Backend Developer with expertise in Go (Golang). In this dual role, you will lead our engineering team and contribute hands-on to developing our B2B SaaS platform, which aims to revolutionize blue-collar worker training in India. You will work closely with cross-functional teams, set engineering standards, and ensure the successful execution of our technology initiatives.

As Head of Engineering:

• Oversee the recruitment, mentoring, and performance management of engineering team members.
• Define and maintain engineering best practices, coding standards, and development methodologies.
• Manage project timelines, resources, and budgets
• Foster a culture of innovation, collaboration, and continuous improvement within the engineering team.
• Drive technical decisions and architecture discussions to ensure scalability, security, and maintainability.

As Senior Backend Developer (Go):

• Design the architecture and implement high-performance, scalable, and reliable backend services in Go.
• Write clean, maintainable, and efficient code while ensuring the security and integrity of the platform.
• Optimize and fine-tune the backend components for maximum speed and scalability.
• Develop and maintain RESTful APIs for seamless integration with frontend and external systems.
• Implement asynchronous programming and event-driven architecture for handling concurrent requests efficiently.
• Work on data modelling and integration with databases for data storage and retrieval.
• Write unit tests and perform code reviews to maintain code quality and ensure robustness.

We are looking for a rock-star software engineer who can lead our tech efforts in building a scalable FinTech platform.

Who we are?
We are a funded Fintech company focused on the Affordable Housing segment based out of Gurugram.

Whom are we looking for?
We are looking for a software engineer to come on-board and own the technology and product development from the ground up and scale it as the business grows.

Tech Qualifications:

1. You have 2-4 years of experience building products from inception to scale.
2. You have built multitenancy B2B and B2C consumer products in the Fintech, Banking, Loan Products, Payments, and/or Digital Commerce space.
3. You have an uncanny ability to attract and retain strong tech talent.
4. You are highly ambitious and have a keen desire to make a large impact.

What do we offer?
A true experience of building scalable fintech business ground up. we also offer equity along with a fixed salary component.

Our Present Infrastructure:
Microservices based Multitenancy Application
ASP.NET core
Kubernetes Cluster
Redis distributed Caching
Aws Cloud Infrastructure
Our Mobile App is built using Angular and Android
RDBMS / NoSQL

About us:

Strata is a commercial real estate investment platform that offers investors the opportunity to invest in pre-leased commercial assets such as offices, warehouses, and retail spaces across India.

We are one of the fastest-growing PropTech platforms in India and are backed by Elevation Capital, Mayfield, Kotak Investment Advisors, Gruhas (a venture by Nikhil Kamath of Zerodha) and DLF Family Office.

Our headquarter is in Bangalore, India.

We are a small yet close-knit team of 35+ people.

About you:

You have a knack for product and strongly equipped with engineering skills to make it a reality. You don’t jump into implementation unless you have clearly understood the problem/requirements and have a written design. You don’t hesitate asking questions and giving critical reviews while respecting others’ opinions. You are a fearless engineer, and not afraid to fail, not on production though ;) You have a strong sense of ownership. You have a startup experience. You don’t feel annoyed if required to work on off days in case of production incidents (no development).

Your responsibilities:

You will primarily work on the backend maintaining the existing platform and writing new enhancements and features. Apart from your own features, as a senior member of the team you will be expected to be actively involved in overall design discussions and peer code reviews. You will factor in extensibility, maintainability, scalability and security in designs and code. You will ensure that best engineering practices are followed. You will support your team members when they are facing challenges, and mentor them when appropriate. You will strive for overall engineering excellence.

Must-have Skills:

• 4-8 years of total experience
• 2+ years of experience in Django and DRF. You must be pro at it. The team will be looking up to you for making most out of DRF.
• Designing and building  scalable web applications
• Good understanding of REST principles
• SQL database design and queries
• Working knowledge of AWS

Good-To-Have Skills:

• Angular or any other JavaScript frontend framework
• Designing microservices
• DevOps experience

FAQ's.

1. Your technology ingredients?

Programming languages:
Our backend is written in Python using Django framework. And the frontend is in AngularJS. Currently there is no mobile app.

Infrastructure:
We are an AWS shop and use their services for most needs, Docker for containerization and ECS as orchestrator, RDS as database, S3 for storage and SQS as messaging backend.

Other tools:
BitBucket for Git and CI/CD pipeline, Trello for project management; and Google Meets and Slack for communication.

2. Your hiring plan?

Currently the engineering team comprises of 3 engineers, and we plan to grow it to 8 by the end of 2021.

3. Your Interview process?

We will try to finish the process within two weeks. In case we can’t go ahead with  your candidature, we will clearly and immediately let you know. But in case of competing applications, we may request you to wait for a week or two.

1. 15 minutes introductory call to discuss requirements and expectations
2. 30 minutes online coding assignment on a screen sharing session
3. 1 hour technical interview covering problem solving, code review and aptitude
4. 15 minutes call with co-founder for final discussion

In case of inability to come to a conclusion from either side, we may go for an additional round.

4. Your WFH and WFO policy?

Due to Covid-19 the team is working from home and will continue till March-2022. After that we will work from the Bangalore or Pune office (yet to be finalised). You should be open to relocate to any of the cities.

5. Your funding status?

In March 2020, Strata raised $1.5 million in seed funding; and $6 million in Series-A in July 2021.