Valuebound

We are looking for a hands-on PostgreSQL Lead / Senior DBA (L3) to join our production engineering team. This is not an architect role. The focus is on deep PostgreSQL expertise, real-world production ownership, and mentoring junior DBAs within an existing database ecosystem.

You will work as a senior individual contributor with technical leadership responsibilities, operating in a live, high-availability environment with guidance and support from a senior team.

Key Responsibilities

• Own and manage PostgreSQL databases in production environments
• Perform PostgreSQL installation, upgrades, migrations, and configuration
• Handle L2/L3 production incidents, root cause analysis, and performance bottlenecks
• Execute performance tuning and query optimization
• Manage backup, recovery, replication, HA, and failover strategies
• Support re-architecture and optimization initiatives led by senior stakeholders
• Monitor database health, capacity, and reliability proactively
• Collaborate with application, infra, and DevOps teams
• Mentor and guide L1/L2 DBAs as part of the L3 role
• Demonstrate ownership during night/weekend production issues (comp-offs provided)

Must-Have Skills (Non-Negotiable)

• Very strong PostgreSQL expertise
• Deep understanding of PostgreSQL internals and behavior
• Proven experience with:
• Performance tuning & optimization
• Production troubleshooting (L2/L3)
• Backup & recovery
• Replication & High Availability
• Ability to work independently in critical production scenarios
• PostgreSQL-focused profiles are absolutely acceptable (no requirement to know other DBs)

Good-to-Have (Not Mandatory)

• Exposure to AWS and/or Azure
• Experience with cloud-managed or self-hosted Postgres
• Knowledge of other databases (Oracle, MS SQL, DB2, ClickHouse, Neo4j, etc.) — purely a plus

Note: Strong on-prem PostgreSQL DBAs are welcome. Cloud gaps can be trained post-joining.

Work Model & Availability (Important – Please Read Carefully)

• Work From Office only (Bangalore – Koramangala)
• Regular day shift, but with a 24×7 production ownership mindset
• Availability for night/weekend troubleshooting when required
• No rigid shifts; expectation is responsible lead-level ownership
• Comp-offs provided for off-hours work

Responsibilities:

Design technical solutions using our workflow automation platform and rule engine to solve

complex client business problems

Lead technical discovery sessions to uncover client requirements and translate them into viable

solutions

Develop proof of concepts and solution prototypes to demonstrate technical feasibility

Create detailed solution documentation and implementation roadmaps

Partner with clients to identify automation opportunities and design optimal workflow solutions

Provide expert consultation on workflow automation best practices and rule engine implementation

Collaborate with product and engineering teams to align client needs with product roadmap

Guide clients through technical onboarding and implementation processes

Troubleshoot complex technical issues and provide advanced support during implementation

Requirements:

Bachelor's degree in Computer Science, Engineering, or related technical field

4-5 years of experience in technical solution design, implementation, or consulting

Proven experience designing workflow automation solutions or business process management

systems

Strong understanding of rule engines, integration patterns, and API ecosystems

Proficiency with JavaScript and experience applying it in solution development

Experience in client-facing technical roles with demonstrated ability to translate business

requirements into technical solutions

Excellent problem-solving abilities with a systematic approach to solution design

Outstanding communication skills with ability to explain complex technical concepts to non-

technical stakeholders

Experience in solution design, technical consulting, or implementation engineering

Preferred Skills:

Experience with workflow automation tools, BPM platforms, or low-code/no-code solutions (e.g.,

Zapier, Make.com, Appian, Pega, OutSystems)

Knowledge of REST APIs, webhooks, and modern integration patterns

Understanding of database concepts

Experience with SaaS implementation or enterprise software deployment

Background in process optimization or business process reengineering

Experience in industries with complex workflow requirements (finance, healthcare, logistics)

At Valuebound we specialize in enhancing digital customer experiences, harnessing the power of open technology stacks combined with our performance-centric culture. We pride ourselves on being among top 5 Drupal certified platinum partners globally as well as an AWS Advanced Consulting Partner, a testament to our technical prowess and dedication. We consistently strive towards delivering customer delight through innovative and effective digital solutions.

We are seeking an experienced Project Manager to join our dynamic team. This role involves comprehensive management of digital technology projects, ensuring they are delivered on time, within budget, and to our high standards.

Key Responsibilities:

• Sprint Planning: Facilitate sprint planning sessions, ensuring effective task distribution and timeline management.
• Scope Management: Define and oversee project scope, aligning with client objectives and company goals.
• Timeline Coordination: Develop detailed project timelines, coordinating with teams to meet Agile sprint goals.
• Budget Oversight: Monitor project budgets, optimizing resource allocation for maximum efficiency.
• Resource Management: Allocate resources effectively to meet project demands within Agile frameworks.
• Stakeholder Communication: Maintain clear and continuous communication with all stakeholders, ensuring transparency and alignment with Agile processes.
• Risk Management: Proactively identify and mitigate project risks in line with Agile risk management practices.
• Change Management: Efficiently manage change requests, adapting plans and timelines in accordance with Agile principles.

Qualifications:

• Experience in facilitating sprint planning, daily stand-ups, and retrospectives.
• Good understanding of web technologies and open-source platforms.
• Good verbal & written communication skills.
• Ability to manage multiple projects simultaneously in a fast-paced environment.
• Certification in Agile methodologies (e.g., CSM, PMI-ACP) or Project Management (e.g., PMP, PRINCE2) is a plus.

• 3-7+ years of engineering experience building full-stack applications (ideally in Go and React)
• Strong experience with event-driven architectures, message queues, and distributed systems
• Proven track record managing production databases including schema design and performance optimization
• Deep understanding of security best practices and production deployment strategies
• Experience with cloud platforms like AWS and containerization technologies
• Familiar with self-hosting (we work w on-premises deployment a lot)
• Flexibility to work across multiple languages (Go, Python, React, and potentially Rust)
• [BONUS] You have worked with Electron and are familiar with deploying desktop apps on Windows

Role Overview

As a Data Scientist, you will play a key role in improving and optimising the models that drive real-time speech AI. You’ll work on analysing, processing, and modelling data to make our systems smarter.

Specifically, you’ll:

• Develop and fine-tune Speech to Speech machine learning models
• Experiment with data-driven solutions to enhance AI performance.
• Work on feature engineering and dataset preparation to train robust models.
• Collaborate with the team to evaluate and deploy models into production.

What we’re looking for:

• Strong problem-solving skills, paired with a passion for learning.
• 1-3 years of experience in Data Science and related fields.
• Experience with speech processing or NLP.
• Proficiency in Python and familiarity with data science libraries.
• Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with working on datasets and data preprocessing techniques.

Job Overview

We are seeking an agile AI Engineer with a strong focus on both AI engineering and SaaS product development in a 0-1

product environment. This role is perfect for a candidate skilled in building and iterating quickly, embracing a fail fast

approach to bring innovative AI solutions to market rapidly. You will be responsible for designing, developing, and

deploying SaaS products using advanced Large Language Models (LLMs) such as Meta, Azure OpenAI, Claude, and Mistral,

while ensuring secure, scalable, and high-performance architecture. Your ability to adapt, iterate, and deliver in fast-

paced environments is critical.

Responsibilities

 Lead the design, development, and deployment of SaaS products leveraging LLMs, including platforms

like Meta, Azure OpenAI, Claude, and Mistral.

 Support product lifecycle, from conceptualization to deployment, ensuring seamless integration of AI

models with business requirements and user needs.

 Build secure, scalable, and efficient SaaS products that embody robust data management and comply

with security and governance standards.

 Collaborate closely with product management, and other stakeholders to align AI-driven SaaS solutions

with business strategies and customer expectations.

 Fine-tune AI models using custom instructions to tailor them to specific use cases and optimize

performance through techniques like quantization and model tuning.

 Architect AI deployment strategies using cloud-agnostic platforms (AWS, Azure, Google Cloud), ensuring

cost optimization while maintaining performance and scalability.

 Apply retrieval-augmented generation (RAG) techniques to build AI models that provide contextually

accurate and relevant outputs.

 Build the integration of APIs and third-party services into the SaaS ecosystem, ensuring robust and

flexible product architecture.

 Monitor product performance post-launch, iterating and improving models and infrastructure to

enhance user experience and scalability.

 Stay current with AI advancements, SaaS development trends, and cloud technology to apply innovative

solutions in product development.

Qualifications

 Bachelor’s degree or equivalent in Information Systems, Computer Science, or related fields.

 6+ years of experience in product development, with at least 2 years focused on AI-based SaaS

products.

 Demonstrated experience in leading the development of SaaS products, from ideation to deployment,

with a focus on AI-driven features.

 Hands-on experience with LLMs (Meta, Azure OpenAI, Claude, Mistral) and SaaS platforms.

 Proven ability to build secure, scalable, and compliant SaaS solutions, integrating AI with cloud-based

services (AWS, Azure, Google Cloud).

 Strong experience with RAG model techniques and fine-tuning AI models for business-specific needs.

 Proficiency in AI engineering, including machine learning algorithms, deep learning architectures (e.g.,

CNNs, RNNs, Transformers), and integrating models into SaaS environments.

 Solid understanding of SaaS product lifecycle management, including customer-focused design,

product-market fit, and post-launch optimization.

 Excellent communication and collaboration skills, with the ability to work cross-functionally and drive

SaaS product success.

 Knowledge of cost-optimized AI deployment and cloud infrastructure, focusing on scalability and

performance.