Business Development Manager

Tech Lead – Backend

Roles & Responsibilities

The company is building the operational backbone for how B2B enterprises run their business.

As a Tech Lead on the backend team, you will own the technical direction for a core domain of the platform—systems where correctness is non-negotiable, scale is unforgiving, and edge cases never stop coming. You will also mentor Senior Engineers in your pod.

This is a hands-on role: you will write code and design systems yourself day to day, pair on complex problems, review the work of engineers around you, and be the person who figures out what's actually broken before it becomes a fire.

You will report into the Engineering Manager / Head of Engineering. This is not a feature-factory role. You are here to raise the level of abstraction the team works at, not simply to ship tickets faster.

What You'll Own

• Design and build core platform services that handle complex business logic reliably at scale.
• Architect and own integrations with external enterprise systems, including their quirks, rate limits, and failure modes.
• Build APIs that enterprise engineering teams actually want to integrate with, not just ones that technically work.
• Own production debugging end to end: diagnose issues across services using logs, traces, and metrics, and make incidents boring rather than fires.
• Embed security and compliance thinking into your systems by default, not as a retrofit.
• Mentor Senior Backend Engineers in your pod: pair on hard problems, review their work, and help them grow as engineers.
• Set the architectural direction for your domain: choose frameworks, patterns, and abstractions that shape the platform for years.
• Lead design reviews and code reviews, and set the technical standard the rest of the team calibrates against.
• Hold a clear bar for quality, follow-through, and ownership across the engineers you work with, ensuring systems are healthy in production, not just merged.
• Partner with Product, Implementation, and Customer Success as the engineer who understands the system deeply enough to challenge requirements when necessary.
• Raise the technical bar for the engineers around you without slowing the team down.
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Ideal Candidate

1. Strong Tech Lead / Staff Engineer / Lead Engineer Profile

• Proven experience operating at Tech Lead, Staff Engineer, or Lead Engineer level.

1. Mandatory – Overall Experience

• Minimum 6+ years of overall Software Engineering / Development experience building production backend systems.

1. Mandatory – Tech Lead Ownership

• Proven Tech Lead ownership with experience setting technical direction, architecture, frameworks, or engineering standards used by other engineers.

1. Mandatory – Backend Development

• Strong hands-on backend development experience with deep proficiency in at least one backend programming language such as Python, Java, or Golang.

1. Mandatory – System Design & Distributed Systems

• Strong experience in system design and distributed systems, including architectural trade-offs, scalability, failure modes, reliability, and long-term maintainability.

1. Mandatory – APIs & Integrations

• Experience designing and building APIs, backend services, and external/enterprise integrations.
• Strong experience owning complex business logic and production systems.

1. Mandatory – Technical Leadership

• Formal technical leadership experience, including mentoring Senior Engineers, conducting design and code reviews, driving engineering quality, and leading technical decisions across a team.

1. Mandatory – Hands-on IC + Tech Lead

• Must be a hands-on Individual Contributor + Tech Lead, with approximately 70–80% hands-on coding/engineering involvement.
• Pure people-management profiles are not suitable.

1. Mandatory – Company Background

• Experience working in Product Companies, Startups, or B2B SaaS organizations.

1. Mandatory – Education

• CS degree or equivalent, such as B.Tech / B.E. / B.S.

1. Preferred – Technical Skills

• Experience with Kafka, NATS, RabbitMQ
• AWS
• Docker / Kubernetes
• CI/CD
• Observability and monitoring
• Security and compliance
• Multi-tenant systems
• Financial, billing, or enterprise platforms

We are looking for a creative and detail-oriented Content Writer to develop engaging, high-quality content across various digital platforms. The ideal candidate should have a strong command of language, creativity, and the ability to adapt tone and style based on the target audience.

Key Responsibilities:

• Create engaging content for blogs, websites, social media, and marketing campaigns
• Conduct thorough research on industry-related topics
• Write clear, concise, and grammatically correct content
• Collaborate with marketing and design teams for content planning
• Optimize content for SEO and improve web traffic
• Proofread and edit content before publication
• Ensure consistency in brand voice and tone

Experience: 4+ years.

Location: Vadodara & Pune

Skills Set- Snowflake, Power Bi, ETL, SQL, Data Pipelines

What you'll be doing:

• Develop, implement, and manage scalable Snowflake data warehouse solutions using advanced features such as materialized views, task automation, and clustering.
• Design and build real-time data pipelines from Kafka and other sources into Snowflake using Kafka Connect, Snowpipe, or custom solutions for streaming data ingestion.
• Create and optimize ETL/ELT workflows using tools like DBT, Airflow, or cloud-native solutions to ensure efficient data processing and transformation.
• Tune query performance, warehouse sizing, and pipeline efficiency by utilizing Snowflakes Query Profiling, Resource Monitors, and other diagnostic tools.
• Work closely with architects, data analysts, and data scientists to translate complex business requirements into scalable technical solutions.
• Enforce data governance and security standards, including data masking, encryption, and RBAC, to meet organizational compliance requirements.
• Continuously monitor data pipelines, address performance bottlenecks, and troubleshoot issues using monitoring frameworks such as Prometheus, Grafana, or Snowflake-native tools.
• Provide technical leadership, guidance, and code reviews for junior engineers, ensuring best practices in Snowflake and Kafka development are followed.
• Research emerging tools, frameworks, and methodologies in data engineering and integrate relevant technologies into the data stack.

What you need:

Basic Skills:

• 3+ years of hands-on experience with Snowflake data platform, including data modeling, performance tuning, and optimization.
• Strong experience with Apache Kafka for stream processing and real-time data integration.
• Proficiency in SQL and ETL/ELT processes.
• Solid understanding of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with scripting languages like Python, Shell, or similar for automation and data integration tasks.
• Familiarity with tools like dbt, Airflow, or similar orchestration platforms.
• Knowledge of data governance, security, and compliance best practices.
• Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
• Ability to work in a collaborative team environment and communicate effectively with cross-functional teams

Responsibilities:

• Design, develop, and maintain Snowflake data warehouse solutions, leveraging advanced Snowflake features like clustering, partitioning, materialized views, and time travel to optimize performance, scalability, and data reliability.
• Architect and optimize ETL/ELT pipelines using tools such as Apache Airflow, DBT, or custom scripts, to ingest, transform, and load data into Snowflake from sources like Apache Kafka and other streaming/batch platforms.
• Work in collaboration with data architects, analysts, and data scientists to gather and translate complex business requirements into robust, scalable technical designs and implementations.
• Design and implement Apache Kafka-based real-time messaging systems to efficiently stream structured and semi-structured data into Snowflake, using Kafka Connect, KSQL, and Snow pipe for real-time ingestion.
• Monitor and resolve performance bottlenecks in queries, pipelines, and warehouse configurations using tools like Query Profile, Resource Monitors, and Task Performance Views.
• Implement automated data validation frameworks to ensure high-quality, reliable data throughout the ingestion and transformation lifecycle.
• Pipeline Monitoring and Optimization: Deploy and maintain pipeline monitoring solutions using Prometheus, Grafana, or cloud-native tools, ensuring efficient data flow, scalability, and cost-effective operations.
• Implement and enforce data governance policies, including role-based access control (RBAC), data masking, and auditing to meet compliance standards and safeguard sensitive information.
• Provide hands-on technical mentorship to junior data engineers, ensuring adherence to coding standards, design principles, and best practices in Snowflake, Kafka, and cloud data engineering.
• Stay current with advancements in Snowflake, Kafka, cloud services (AWS, Azure, GCP), and data engineering trends, and proactively apply new tools and methodologies to enhance the data platform. 

Position: Front desk officer

Salary: 15k to 25k

Location Gulbai tekra Ahmedabad

Job time : 10 to 7 days working

Only female candidate

Only Ahmedabad based candidate

Concretio Apps was incorporated in 2014 by Mr. Abhinav Gupta (Salesforce MVP 8 times in a row), with a motive to build a team of passionate individuals, who want to develop high-quality solutions and enjoy challenges posed by rapidly changing technology. Concretio Apps aims to grow steadily with its positive and friendly environment. Flexi work timings and work from home option (Once you are on client project), fully paid Certifications, 360 degree grooming, 5 days a week and great work life balance are some of our key USPs, along with other employee-friendly policies. 

We are looking for highly skilled Salesforce Developers OR Other Tech Developers (Java / Javascript) who love to stay on the technical side of the curve and look to groom themselves as Salesforce Architect going forward. You will get training to work in Cloud Computing (Salesforce & its Lightning Javascript framework as well). 

At Concretio, we believe that work can happen from anywhere. We believe people should be able to work and learn together whether they're across the table or across the world from each other. We are open for the Remote / Work from Home option as well, so location is not a constraint anymore. 

Job Responsibilities

• Developing applications for the Salesforce.com platform. 
• Developing Javascript frontend/apps and integrations using REST/SOAP JSON/XML. 
• Coding APEX and custom applications for Salesforce instances. 
• Design, code, configure, document, deliver and support solutions to meet business needs in Salesforce, including configurations, customizations, and integrations. 
• Work with Application Architects and Tech Leads to design integrations between Salesforce.com and other systems across the enterprise. 
• Code, configure, unit test, and create supporting documentation for application development tasks.
• Demonstrated experience building integrations with Salesforce.com (REST/SOAP - XML/JSON)

Soft Skills Checklist

• Always learning attitude, with the rapidly changing Salesforce and Tech landscape, it’s a must. 
• Consultant mindset, we will help you develop these soft skills, but an open attitude is needed. Talking to a client/business user, understanding their pain points, and delivering a solution are key to project success here. 
• Sense of ownership and self-discipline: We don’t like chasing our people for status multiple times a day. If you are the one who enjoys taking ownership of tasks and delivering them without much monitoring, you will love it here. 

Tech Skills Checklist

• Strong Salesforce basics i.e. Configuration/Clicks concepts. 
• Apex, Visualforce, Lightning (Aura/LWC). 
• Excellent programming skills with a good understanding of OOPS. 
• Knowledge of any DBMS (Tables, Joins, Relationships, SQL, Normalisation).
• Knowledge of core HTML, CSS, and Javascript concepts. 
• Experience of Chrome Extensions/Apps, Electronjs, or NativeScript (nice to have).

Cultural Alignment Checklist 

• The educational part doesn't matter much. 
• CODING: Know, love and be comfortable in it. 
• OPEN Mindset: An open, curious and learner profile is a must. WWW is changing at a crazy pace, we need someone who is open to adapting to this pace of change in Salesforce and tech.
• We expect our team to crack suitable Salesforce certifications as KRAs, and happily sponsor the fees for the same. 
• Sense of Ownership: We are not going to put a manager on your head, who will seek status updates every few hours (multiple times in a day). You will be given a task, and the expectation will be to own the 100% success and failure for the same. We are never short on public praise and giving credit for a successful show. 
• Excellent Craftsmanship: We differentiate and take pride in what we build and deliver to customers across the globe. Mediocrity is not appreciated here in anything. Top-quality code, deliverables, and communication is something we expect and continuously work to improve on a day-to-day basis. 
• Strong Communication Skills: It's actually a MUST have for your experience level. 

Nice to have

• Salesforce Communities (Classic and using Communities).
• Taking ideas to AppExchange (OEM, Security Review).
• Developing SPA (Single Page Applications) in Salesforce.
• Hands-on experience in one or more JS/CSS frameworks (jQuery, React, Angular, Vue, Bootstrap, Foundation, etc).
• Hands-on experience in Cordova, Ionic, and Hybrid mobile development.
• How OAuth, SOAP, SAML, and other integration patterns work.
• NoSQL and how modern database systems work.
• Classic DBMS MySQL, Postgres etc.
• AWS, Google or Microsoft cloud experience. 

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.

We are looking for an enthusiastic Customer Support Executive who possesses a strong drive for results. The ideal candidate should showcase the following skills - 

• Fluent communication skills in English and Hindi
• Proven customer support experience of 1-3 years
• Engaging with customers and earning their trust
• Building sustainable relationships with customers
• Patient, empathetic, self-motivated
• Experience with CRM and tool handling
• Bachelor's degree, preferably in Computer/IT Engineering
• Prior experience in Ed-tech platform is mandatory

Following are the day-to-day roles and responsibilities - 

• Making outbound calls to registered users, interacting with them, providing necessary information, and resolving any queries
• Taking inbound calls from customers to resolve any queries or complaints
• Accurately explaining all details of courses offered to parents and students
• Ensuring a smooth journey for customers, from registering to completing a demo session
• Ensuring maximum customer satisfaction
• Having inside-out knowledge of our product and course offerings
• Explaining technical subjects to customers with a non-technical background