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Database Engineer

Database Engineer at Wissen Technology · Bengaluru (Bangalore) · 5 - 10 years · Profitable · Posted 4 Nov 2026

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Database Engineer

Umamaheshwaran V's profile picture
Posted by Umamaheshwaran V
5 - 10 yrs
Best in industry
Bengaluru (Bangalore)
Skills
skill iconPostgreSQL
SQL
Stored Procedures
queries optimization
Optimization
Relational Database (RDBMS)

We are looking for a Database Developer (PostgreSQL) .


Requirements

- 5+ years of hands-on PostgreSQL experience in a production or production-adjacent context 

- Strong SQL skills, including joins, aggregation, common table expressions, window functions, upserts, and DDL

- Ability to read execution plans and use a systematic approach to diagnose and rewrite slow SQL statements

- Practical understanding of transactions, isolation levels, locking, and MVCC

- Experience with physical database design, including tables, keys, constraints, indexes, and partitioning

- Practical experience with data migrations, including bulk or incremental loads, cutovers, and validation

- Practical backup and restore experience, including retention, point-in-time recovery, or restore testing

- Ability to write reliable operational scripts and idempotent reconciliation or backfill processes

- Basic Python experience for data loading and operational scripting.


Nice to have

- Experience with a schema migration tool such as Alembic, Flyway, or Liquibase 

- Experience managing declarative partitioning at scale

- Experience with managed cloud PostgreSQL

- Experience tuning PostgreSQL statistics, autovacuum, bloat, and lock contention


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About Wissen Technology

Founded :
2015
Type :
Products & Services
Size :
1000-5000
Stage :
Profitable

About

The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.

With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.


Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.


We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).


Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.


Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.

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Best in industry
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We are looking for a Database Engineer (PostgreSQL) with 5+ years of experience to manage, optimize, and maintain PostgreSQL databases. The ideal candidate will have expertise in PostgreSQL, SQL Optimization, Database Design, Performance Tuning, Data Migration, and Backup & Recovery.

Responsibilities:

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  • Perform database design, indexing, and schema management.
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Requirements:

  • 5-9 years of PostgreSQL database experience.
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  • Knowledge of database backup, recovery, and migration processes.
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We are seeking an experienced Senior Database Developer to lead and support Oracle to PostgreSQL/Aurora PostgreSQL migration initiatives. The role involves deep hands-on work across SQL refactoring, schema conversion, DMS operations, performance tuning, and post–go-live stabilization. The candidate will work closely with application teams, cloud engineers, and stakeholders to ensure a smooth, performant, and compliant migration.

 

What you will do?

  • Refactor and convert Oracle SQL, PL/SQL, and database objects to PostgreSQL-compatible SQL/PLpgSQL.
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What are we looking for?

  • Bachelor's degree in Computer Science or a related field.
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chaitanya v
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Database Reliability & Performance  •  Senior Individual Contributor


  • Experience: 6–9 years in production database administration / engineering
  • Level: Senior Individual Contributor (hands-on)
  • Function: Data Platform — reliability, performance, and governance across relational and distributed SQL & NoSQL DBs.

About the Role

We are hiring a Senior Database Administrator to own the health, performance, and reliability of the data layer behind a high-scale, multi-tenant platform. Our environment spans several independent PostgreSQL database instances, a cache-first read tier, change-data-capture pipeline, analytics and archival stores. Should be capable of implementing NoSQL stores (Cassandra / ScyllaDB) & MySQL  end to end as we scale.

This is a hands-on senior IC role for someone who has run demanding production databases and wants full ownership: partitioning and maintenance, performance tuning, monitoring, uptime, disaster recovery, and the security and data-governance documentation that keeps a regulated, multi-tenant platform audit-ready. You will work closely with, and take direction from, engineering leadership — translating priorities into a well-run, well-documented data platform.

What You'll Own

PostgreSQL Depth

  • Administer multiple production PostgreSQL instances (v16+), including schema/DDL review, migrations, and release coordination.
  • Design and maintain table partitioning strategies (range/hash/time-based) and automate partition lifecycle — creation, retention windows, and safe drops.
  • Own query and instance performance tuning: EXPLAIN/ANALYZE, indexing strategy, autovacuum/bloat management, connection pooling (e.g. PgBouncer), and parameter-group tuning.
  • Execute zero-downtime schema changes using expand–migrate–contract / blue-green patterns; assess lock impact and avoid long ACCESS EXCLUSIVE locks on hot tables.
  • Manage replica topology (writer/reader endpoints), replication lag, and read-scaling as load grows.
  • Partner with app teams on migration tooling (e.g. Flyway) and paired forward/rollback scripts; enforce idempotent, reviewed, tested DDL.

NoSQL & Scale

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  • Support the cache-first architecture (Redis) and change-data-capture / streaming pipelines (e.g. Kafka) that move data to analytics and cold-archival stores.

Operations, Reliability & DR

  • Own database uptime and SLOs; build and maintain monitoring, alerting, and dashboards for the key signals (latency, replication lag, CPU/IO, connections, vacuum lag, error rates).
  • Define and regularly test backup and disaster-recovery strategy — RPO/RTO targets, point-in-time recovery, restore drills, and cross-AZ / future multi-region readiness.
  • Drive incident response for database-related issues: triage, mitigation, root-cause analysis, and follow-up actions.
  • Write and maintain runbooks (partition maintenance, failover, archival, DR, migration procedures) and participate in an on-call rotation for the data layer.
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Security, Governance & Documentation

  • Implement and maintain database access control — least-privilege roles, schema-scoped permissions, and row-level security (RLS) for multi-tenant isolation.
  • Own data-governance documentation: PII maps, per-table retention policies, audit-readiness, and the controls behind privacy-regulation compliance (e.g. GDPR / DPDP-style erasure and legal-hold workflows).
  • Author and maintain architecture decision records (ADRs), schema documentation, and monitoring/runbook docs so the data platform is legible to the wider team.
  • Uphold encryption-at-rest/in-transit posture and safe handling of sensitive columns; keep the data layer aligned with the platform's compliance requirements.

Coding & Automation Bar (Required)

This role is automation-first, not click-ops. The right candidate treats repetitive database work as something to script away and can drop into application code when a problem demands it.

  • Strong scripting in Python and Bash for automation of maintenance, backups, partition management, backfills, and health checks.
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  • Solid SQL and PL/pgSQL; able to read and debug application-layer database code and, worst case, write or patch application code (e.g. Python/Node/Java) to unblock a fix.
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Required Qualifications

  • 6–9 years operating relational databases in demanding production environments, with deep PostgreSQL expertise (internals, partitioning, replication, performance tuning).
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Nice to Have

  • Experience migrating workloads from PostgreSQL to Cassandra/ScyllaDB (or similar relational-to-distributed migrations).
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  • Exposure to Flyway (or Liquibase), pgTAP or similar schema testing, and PgBouncer.
  • Working knowledge of privacy regulations (GDPR, India DPDP) and audit/compliance processes.


How You Work

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chaitanya v
Posted by chaitanya v
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Data Platform Engineer

Design, automate, and scale our data platform — this is an engineering role, not a traditional "DBA job.

Must-have :

  • Data modeling & schema design (from first principles, not just maintenance)
  • PostgreSQL (deep, hands-on — partitioning, replication, tuning)
  • Any distributed NoSQL store (Cassandra, ScyllaDB, or similar wide-column/distributed DB) (real production experience)
  • Python (automation & tooling, not just scripting)
  • DevOps & CI/CD (building pipelines, not just using them)
  • Terraform (infrastructure-as-code)

You'll:

  • Design schemas, partitioning strategies, and lead the Postgres → Cassandra migration end-to-end
  • Own PostgreSQL performance, replication, and zero-downtime schema changes
  • Build Python-based automation to eliminate repetitive DB work
  • Own CI/CD pipelines and Terraform-based infra provisioning
  • Drive uptime, DR, monitoring, and incident response
  • Own multi-tenant security (RLS, least-privilege access) and data governance

Experience: 4–9 years, data/database/platform engineering in demanding production environments.

Bonus: Kafka/Debezium (CDC), Redis, Flyway/Liquibase, GDPR/DPDP exposure.

Read more
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Position Summary

We are seeking a highly skilled Data Engineer with strong expertise in reporting infrastructure, data modeling, and analytics platforms. This role will focus on building scalable reporting solutions, optimizing data pipelines, and enabling data-driven decision-making across the organization. The ideal candidate will have deep experience with databases, data warehousing, and complex query development. While Ruby on Rails experience is beneficial, the primary emphasis is on data engineering and reporting systems.

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  • Build and optimize complex SQL queries, data models, and reporting datasets.
  • Develop scalable ETL/ELT pipelines and data integration processes.
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  • Collaborate with business stakeholders to understand reporting needs and translate them into technical solutions.
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  • Support and enhance enterprise reporting solutions and dashboards.
  • Work with large-scale datasets in cloud data warehouse environments.
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  • Partner with engineering and product teams to establish sustainable data architecture.

Must Have: Technical Skills

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Success Profile:

The ideal candidate is a data-focused engineer who enjoys working with complex datasets, designing scalable reporting solutions, and building foundational infrastructure that empowers analytics and business intelligence teams. They should be comfortable navigating databases, optimizing queries, and translating business reporting needs into robust technical implementations.

Experience Range: 5-10 years

Role Type: Individual Contributor / Senior Engineer

Primary Focus: Reporting Infrastructure, Data Engineering, Data Warehousing, and Analytics Enablement.

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Solutionara is an AI-led IT Consulting and Technology Services organization delivering enterprise transformation through Cloud, Integration, Data Engineering, Digital Experience, AI, and Enterprise Applications.

Headquartered in the United States with a Global Delivery Center (GDC) in Noida, India, Solutionara partners with enterprise organizations across retail, manufacturing, distribution, consumer goods, and other industries to design, implement, and support scalable technology solutions.

As a rapidly growing consulting organization, we foster a culture of ownership, innovation, collaboration, and continuous improvement, empowering our teams to contribute beyond their immediate responsibilities while delivering exceptional value to our global clients.

Every team member is expected to think like a consultant and business problem solver—understanding client objectives, challenging assumptions when appropriate, leveraging AI responsibly, and continuously identifying opportunities to improve quality, productivity, and customer outcomes.

AI is embedded into how we work, but it is an enabler—not a replacement for expertise, critical thinking, or accountability.


Role Overview

Solutionara is seeking a Senior Data Engineer with strong data engineering and database expertise to design, build, optimize, and support enterprise-scale data solutions.

This is a hands-on engineering position requiring strong SQL, Python, ETL/ELT, database, cloud, and troubleshooting capabilities. The engineer will work closely with technical leads and client stakeholders while taking ownership of major engineering components.

Location: Noida, India – Onsite | Employment Type: Full-Time | Experience: 6–9 Years


Key Responsibilities

Data Engineering

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  • Develop high-quality SQL and Python-based data processing solutions.
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  • Implement pipeline logging, monitoring, exception handling, and recovery mechanisms.

Database & Platform Engineering

  • Design and optimize relational database schemas and data structures.
  • Analyze and improve SQL/query performance.
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  • Implement appropriate database security and access controls.
  • Support database monitoring, availability, backup/recovery, and operational requirements in collaboration with infrastructure/platform teams.
  • Troubleshoot database and pipeline performance issues.
  • Contribute to cloud data-platform configuration and optimization.

Data Quality

  • Implement automated validation and data-quality controls.
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  • Identify duplicate, incomplete, inconsistent, and invalid data.
  • Implement cleansing, standardization, validation, and exception-management logic.
  • Work with technical and business stakeholders to understand and implement business data rules.

Technical Delivery

  • Convert technical designs into reliable production solutions.
  • Participate in technical design and code reviews.
  • Mentor junior/mid-level engineers.
  • Support estimation and technical planning.
  • Troubleshoot complex production and integration issues.
  • Collaborate with technical leads, application teams, DevOps, QA, BI, and client teams.
  • Document technical designs, mappings, configurations, operational procedures, and engineering decisions.

Consulting & AI-Led Working

  • Understand the business purpose behind assigned engineering requirements.
  • Raise risks, assumptions, dependencies, and potential improvements proactively.
  • Communicate effectively with client and internal stakeholders.
  • Use AI-assisted tools to improve coding, testing, analysis, documentation, and troubleshooting productivity.
  • Independently verify AI-generated code and recommendations before implementation.
  • Identify opportunities for engineering automation and process improvement.


Required Qualifications

  • 6–9 years of experience in data engineering, database engineering, data integration, or related areas.
  • Advanced SQL skills.
  • Strong hands-on Python experience.
  • Strong ETL/ELT development experience.
  • Strong relational database knowledge, such as SQL Server, PostgreSQL, Oracle, or equivalent.
  • Experience with data modeling and database design.
  • Experience with AWS, Azure, or another major cloud platform.
  • Experience with modern data technologies such as Databricks, Snowflake, Redshift, Synapse, Glue, ADF, Airflow, dbt, or equivalent.
  • Experience with performance tuning and optimization.
  • Experience with data validation and reconciliation.
  • Strong troubleshooting and analytical skills.
  • Ability to take ownership of engineering deliverables with limited supervision.

Preferred Qualifications

  • Experience working with enterprise ERP, CRM, PIM, PLM, MES, or related systems.
  • Experience with manufacturing, retail, distribution, or consumer-goods data.
  • Experience with CI/CD and infrastructure/platform engineering practices.
  • Experience with API and event-driven integrations.
  • Previous consulting or technology-services experience.

What Success Looks Like

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  • Data issues are detected and addressed systematically.
  • Junior engineers receive effective technical guidance.
  • Problems are owned through resolution rather than simply escalated.
  • Engineering decisions reflect both technical requirements and client business objectives.


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Vandana Saxena
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Job Description (JD) for the MySQL Database Administrator role

Experience: 4-8 Years 

Location : Mumbai 

Job Title: MySQL Database Administrator 

Responsibilities 

  • Provision and configure MySQL database instances in clustered and non-clustered environments. 
  • Ensure database performance, security, availability, and reliability. 
  • Prepare and maintain database documentation, technical specifications, and operational procedures. 
  • Perform database upgrades, backups, restoration, recovery, and migrations. 
  • Monitor database and server resource utilization and perform performance tuning and optimization. 
  • Manage database users, access privileges, periodic access reviews, audits, and documentation. 
  • Configure, monitor, and troubleshoot MySQL replication. 
  • Collaborate with application, infrastructure, development, and other stakeholder teams to resolve database-related issues. 
  • Provide database and application deployment support, as required. 
  • Perform database backup and restoration validation, data integrity checks, and post-migration validations. 
  • Follow database change management, security, and operational best practices. 


Skills and Qualifications 

  • Strong hands-on experience in MySQL database administration. 
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  • Practical experience in configuring, monitoring, and troubleshooting MySQL replication. 
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  • Ability to assess database resource requirements based on application workloads and technical specifications. 
  • Familiarity with other SQL and NoSQL databases, such as PostgreSQL and MongoDB. 
  • Understanding of MySQL limitations compared with other relational database platforms and the ability to identify suitable workarounds. 
  • Working knowledge of version control tools such as Git, SVN, or CVS. 
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Good to Have 

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Role overview:

·         Technology Expertise & DBA Skill Set

·         Cloud Platforms: AWS, Azure

·         Database IaaS: Oracle, Microsoft SQL Server, PostgreSQL

·         Database PaaS: CosmosDB, MySQL, SQL Managed Instance, RDS Aurora, MongoDB

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·         CI/CD & Automation: GitHub Actions, GitLab, Azure DevOps

·         Programming & Scripting: Python, Bash/Shell, PowerShell

·         Operating Systems: Linux/Unix (RHEL, Ubuntu), Window

Database Team Overview

Our Database Team is the foundation of enterprise-grade databases delivering secure, compliant and high-performing database platforms across Azure and AWS. We provide managed services for Oracle and Microsoft SQL Server, operating in a system DBA role to ensure platform reliability, resilience, and operational excellence. In addition, we support PaaS and RDS database services by acting as the platform team defining policies, enforcing security standards, and managing networking configurations while enabling self-service capabilities for application teams to consume these services efficiently.

What would you do here:

·         Database Security & Compliance: Implement robust security controls, encryption, and auditing to safeguard sensitive data and meet regulatory requirements.

·         Lifecycle Management: Oversee patching, upgrades, and end-of-life transitions to maintain platform stability and minimize risk.

·   Performance Optimization: Monitor and tune databases for optimal performance across diverse workloads.

·         Automation & Operational Excellence: Design and deploy automation for provisioning, monitoring, and maintenance to achieve “brilliant basics” and reduce manual intervention.

·         Business-Critical Certification: Validate and certify database environments to support mission-critical applications with high availability and disaster recovery strategies.

·         Incident & Problem Management: Provide rapid response and  root-cause analysis for database-related incidents to ensure business continuity.

·         Capacity Planning & Scalability: Forecast growth and optimize resources to support evolving business needs.

Best Regards!

Read more
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skill iconPostgreSQL
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skill iconDjango
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Job Summary

We are looking for a skilled Python Backend Developer with strong hands-on programming experience and a good understanding of SQL, databases, REST APIs, and backend development. The ideal candidate should have experience developing, maintaining, and optimizing backend applications, along with strong debugging and problem-solving skills.

Key Responsibilities

  • Develop, maintain, and enhance backend applications using Python.
  • Write, optimize, and manage SQL queries, including joins, subqueries, and complex queries.
  • Work with relational databases such as PostgreSQL, MySQL, or SQL Server.
  • Develop and integrate RESTful APIs for backend services.
  • Perform debugging, troubleshooting, and performance optimization.
  • Write unit tests and ensure code quality and application reliability.
  • Use Git for version control and collaborative development.
  • Collaborate with frontend developers, QA teams, and other stakeholders.
  • Support data processing and ETL-related activities.

Required Skills

  • Strong hands-on experience in Python programming.
  • Good knowledge of SQL, joins, subqueries, and query optimization.
  • Experience working with PostgreSQL, MySQL, or SQL Server.
  • Knowledge of REST APIs and backend development concepts.
  • Understanding of debugging, testing, and troubleshooting.
  • Hands-on experience with Git and version control.
  • Strong analytical and problem-solving skills.

Preferred Skills

  • Experience with Python frameworks such as Django, Flask, or FastAPI.
  • Knowledge of data processing and ETL pipelines.
  • Familiarity with cloud platforms such as AWS or Microsoft Azure.
  • Understanding of application deployment and backend architecture.

​Kindly fill the Details :-

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Gurugram
4 - 6 yrs
Best in industry
Retrieval Augmented Generation (RAG)
skill iconNodeJS (Node.js)
skill iconPython
skill iconGo Programming (Golang)
Systems design
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About VerbaFlo.ai

VerbaFlo.ai is a fast-growing AI SaaS startup revolutionizing how businesses leverage AI-powered solutions. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions.


Role Overview

We are looking for a Senior Backend Engineer to design and develop user-friendly, scalable, and high-performance web applications. This role requires deep expertise in backend technologies, attention to detail, and the ability to collaborate with cross-functional teams.


Responsibilities

  • Design, develop, and maintain scalable backend systems, APIs, and data pipelines.
  • Collaborate closely with frontend engineers, product managers, and AI teams to deliver cohesive features and seamless user experiences.
  • Ensure the reliability, security, and performance of backend systems.
  • Write clean, maintainable, and efficient code using modern backend practices.
  • Implement automated testing, CI/CD workflows, and infrastructure as code (where applicable).
  • Own the end-to-end lifecycle of backend features, from architecture to deployment.
  • Monitor production systems and resolve performance and scalability issues.
  • Contribute to architectural decisions and help evolve our engineering best practices.


Requirements

  • 4–6 years of experience in backend development in startups, preferably in SaaS or AI-driven products.
  • Proficiency in Node.js, Python, or Go
  • Deep understanding of RESTful API design.
  • Strong experience with databases: PostgreSQL, MongoDB, ElasticSearch.
  • Exposure to message queues, job schedulers, or event-driven architectures (e.g., SQS, Celery, etc).
  • Familiarity with cloud platforms like AWS, GCP, or Azure and containerization tools (Docker, Kubernetes).
  • Experience with Git, CI/CD tools, and writing unit/integration tests.
  • Strong problem-solving skills and a mindset geared toward performance and security.
  • Excellent communication and collaboration abilities.


Why Join Us?

  • Work directly with top leadership in a high-impact role.
  • Be part of an innovative and fast-growing AI startup.
  • Opportunity to take ownership of key projects and drive efficiency.
  • A collaborative, ambitious, and fast-paced work environment.
  • Perks & Benefits: gym membership benefit, workation policy, and company-sponsored lunch.


If you’re looking for an exciting role that combines strategy, execution, and leadership exposure, we’d love to hear from you!

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Shubham Vishwakarma

Full Stack Developer - Averlon
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