
Supercharge Your Career as a PostgreSQL Expert at Technoidentity!
Are you ready to solve people challenges that fuel business growth? At Technoidentity, we’re a Data+AI product engineering company building cutting-edge solutions in the FinTech
domain for over 13 years—and we’re expanding globally. It’s the perfect time to join our team of tech innovators and leave your mark!
What’s in it for You?
We are seeking a seasoned Senior Database Developer & PostgreSQL Expert with 8–10 years of experience across multiple database systems, with deep hands expertise in PostgreSQL internals, performance tuning, advanced indexing, and enterprise data architecture.
With a strong preference for Oracle to AlloyDB (PostgreSQL) migration expertise, this role blends modernization, advanced PostgreSQL engineering, and cloud-native architecture on Google Cloud Platform (GCP). If you thrive in transforming complex data
logic, optimizing performance, and architecting enterprise-grade PostgreSQL systems, this opportunity is built for you.
What Will You Be Doing?
Database Migration & Development
- Lead database migrations from Oracle to PostgreSQL-based platforms like AlloyDB, applying both manual and automated strategies.
- Re-engineer stored procedures, triggers, and packages from PL/SQL to PL/pgSQL.
- Recreate and optimize DB objects (schemas, constraints, views, indexes) across target platforms.
- Design PostgreSQL-specific architecture including partitioning strategies, indexing plans (GIN, GiST, BRIN), and query optimization paths.
- Leverage PostgreSQL internals such as vacuum tuning, WAL configuration, and connection management for optimal system performance.
Performance Optimization
- Implement indexing strategies, query plans, and table partitioning to enhance database performance.
- Use tools like EXPLAIN ANALYZE, pg_stat_statements, and GCP-native monitoring dashboards for tuning.
- Collaborate with DevOps for deployment pipelines and infrastructure-as-code (IaC) best practices.
- Perform deep-dive PostgreSQL performance fine-tuning including buffer cache analysis, autovacuum configuration, and planner optimization.
- Optimize PostgreSQL workloads for high concurrency and large datasets, ensuring stable and predictable performance.
Data Integrity & Validation
- Build and execute validation scripts for source-to-target comparison.
- Ensure row-level data accuracy, transformation logic fidelity, and zero data loss post-migration.
- Manage large-scale datasets for archival and bulk processing tasks.
- Implement PostgreSQL-native data integrity strategies like constraint management, row-level security (RLS), and trigger-based validations.
Collaboration & Documentation
- Work with cross-functional teams to translate business logic and legacy workflows to scalable, modern database systems.
- Maintain clear documentation on schema conversions, validation methods, rollback strategies, and change history.
- Create PostgreSQL architecture documents, optimization playbooks, and database best-practice guidelines for engineering teams.
What Makes You the Perfect Fit?
- 5–14 years of database development experience across Oracle, PostgreSQL, and similar RDBMS platforms.
- Strong expertise in PL/SQL and PL/pgSQL for procedural logic, error handling, and performance tuning.
- Proven track record of large-scale database migration projects (Oracle to PostgreSQL/AlloyDB preferred).
- Proficient in query optimization, indexing, partitioning, and schema normalization.
- Familiar with Agile practices, Git-based version control, and CI/CD workflows.
- Hands-on experience with Google Cloud Platform (GCP) for database hosting, monitoring, and scaling.
- Deep expertise in PostgreSQL internals — query planner, vacuum processes, WAL, replication, logical decoding, and high-availability strategies.
- Experience designing PostgreSQL architectures including HA, replication, fault-tolerance, and disaster recovery.

About Technoidentity
About
Founded a decade ago, a group of seasoned professionals came together to ask ‘How might we use technology to bring the world closer to social justice?’ A small team was put together to create incredible solutions for organisations working towards delivering large scale impact. Today, we’re a global organisation providing disruptive software solutions to our customers who are solving important problems in their industry and also the world we live in. At TechnoIdentity, we challenge our team of passionate technologists to create forward-looking solutions for our customers that improve operational efficiency and bolster their bottom line. We empower them with the tools, methodologies and decision-making to make real impact, fast. We invite creative minds and businesses to TechnoIdentity, let’s collaborate to transform lives through technology.
Life at TechnoIdentity is shaped by the belief that everyone deserves to bring their authentic self to work and as responsible adults, you will choose to spend your time wisely on things matters the most to you.
Tech stack
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Review Criteria:
- Strong MLOps profile
- 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
- 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
- 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
- Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
- Must have hands-on Python for pipeline & automation development
- 4+ years of experience in AWS cloud, with recent companies
- (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth
Preferred:
- Hands-on in Docker deployments for ML workflows on EKS / ECS
- Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
- Experience with CI / CD / CT using GitHub Actions / Jenkins.
- Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
- Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.
Job Specific Criteria:
- CV Attachment is mandatory
- Please provide CTC Breakup (Fixed + Variable)?
- Are you okay for F2F round?
- Have candidate filled the google form?
Role & Responsibilities:
We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.
Key Responsibilities:
- Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
- Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
- Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
- Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
- Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
- Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
- Collaborate with data scientists to productionize notebooks, experiments, and model deployments.
Ideal Candidate:
- 8+ years in MLOps/DevOps with strong ML pipeline experience.
- Strong hands-on experience with AWS:
- Compute/Orchestration: EKS, ECS, EC2, Lambda
- Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
- Workflow: MWAA/Airflow, Step Functions
- Monitoring: CloudWatch, OpenSearch, Grafana
- Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
- Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
- Strong Linux, scripting, and troubleshooting skills.
- Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.
Education:
- Master’s degree in computer science, Machine Learning, Data Engineering, or related field.
MANDATORY:
- Super Quality Data Architect, Data Engineering Manager / Director Profile
- Must have 12+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role
- Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang
- Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.
- Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.
- Must have managed a team of at least 5+ Data Engineers (Read Leadership role in CV)
- Product Companies (Prefers high-scale, data-heavy companies)
PREFERRED:
- Must be from Tier - 1 Colleges, preferred IIT
- Candidates must have spent a minimum 3 yrs in each company.
- Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company
ROLES & RESPONSIBILITIES:
- Lead and mentor a team of data engineers, ensuring high performance and career growth.
- Architect and optimize scalable data infrastructure, ensuring high availability and reliability.
- Drive the development and implementation of data governance frameworks and best practices.
- Work closely with cross-functional teams to define and execute a data roadmap.
- Optimize data processing workflows for performance and cost efficiency.
- Ensure data security, compliance, and quality across all data platforms.
- Foster a culture of innovation and technical excellence within the data team.
IDEAL CANDIDATE:
- 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.
- Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.
- Proficiency in SQL, Python, and Scala for data processing and analytics.
- Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.
- Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice
- Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.
- Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
- Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).
- Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.
- Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK.
- Proven ability to drive technical strategy and align it with business objectives.
- Strong leadership, communication, and stakeholder management skills.
PREFERRED QUALIFICATIONS:
- Experience in machine learning infrastructure or MLOps is a plus.
- Exposure to real-time data processing and analytics.
- Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture.
- Prior experience in a SaaS or high-growth tech company.
Looking for Immediate joiners Bangalore location(3-9years)
Key responsibilities:
- Understand all requirements, Design, Develop and implement features, complying with engineering and regulatory standards and procedures for charging stations.
- Create multiple concepts, evaluate, and implement the optimal one.
- Develop and maintain product’s design integrity with good knowledge of software system architecture and design.
- Apply problem-solving techniques and guide team towards arriving at solutions.
- Work with cross functional team from Concept prototyping to Launch & thereafter.
- Guide team towards creation and handling of all design and development related processes and documents like, defining requirements, high level design, low level design, DFMEA, DF’X’, Interface sign off, RCA, etc.
Key requirements
- A Bachelor/ master’s degree in E&E/ECE engineering from premier institute
- 5 years+ product development experience on Linux based systems, with full lifecycle experience for atleast 2 industry deployed products.
- Software Design and Architecture experience on Linux platforms
- Interfacing with SaaS via network or REST APIs
- Knowledge of CAN, RS485/Modbus protocols, Kafka, Distributed Messaging
- C++ with STL, Linux system programming, scripting, network/sockets programming, strong in UDP/TCP networking, libcurl + HTTP(s)
- Knowledge of Bluetooth/BLE, Elastic Search + Logstash, Java performance tuning
- Knowledge of security-based Threat Modelling Design & Mitigation, TLS/SSL, Docker + Docker networking, Python + node.js + WebSocket’s, HTML5, JavaScript.
- Excellent communication, leadership, and problem-solving skills
- Ability to work in a fast-paced and dynamic environment.
Position: Presales Consultant
Experience: 1-5 Years (Banking, Finance, Real Estate, or Insurance)
Location: Sr. No 51/2A, Navle Icon 03rd floor Office No. 301, Opp Navle Bridge, Mumbai, Bangalore Highway, Narhe, Pune, Maharashtra 411041
Salary: 15K to 40K
Interview Mode: Face to Face
Candidates should be Pune Location only
Overview
We’re seeking a proactive Presales Consultant to generate leads, engage clients, and create opportunities for our sales team. This role involves securing positive client responses and setting up second meetings with senior team members.
Key Responsibilities
· Lead Generation: Identify potential clients through calls, emails, and digital platforms.
· Client Engagement: Build interest by effectively presenting our offerings.
· Appointment Setting: Schedule follow-up meetings for senior team members.
· Collaboration: Coordinate with sales and management teams for smooth transitions.
· Reporting: Track lead interactions and report progress.
Qualifications
· 1-2 years in Banking, Finance, Real Estate, or Insurance
· Strong communication and basic sales skills
· Proactive and self-motivated with CRM proficiency
-
Working with Ruby, Python, Perl, and Java
-
Troubleshooting and having working knowledge of various tools, open-source technologies, and cloud services.
-
Configuring and managing databases and cache layers such as MySQL, Mongo, Elasticsearch, Redis
-
Setting up all databases and for optimisations (sharding, replication, shell scripting etc)
-
Creating user, Domain handling, Service handling, Backup management, Port management, SSL services
-
Planning, testing & development of IT Infrastructure ( Server configuration and Database) and handling the technical issue related to server Docker and VM optimization
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Demonstrate awareness of DB management, server related work, Elasticsearch.
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Selecting and deploying appropriate CI/CD tools
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Striving for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
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Experience working on Linux based infrastructure
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Awareness of critical concepts in DevOps and Agile principles
-
6-8 years of experience
- Ability to program in JavaScript
- Knowledge of markup languages like HTML and XML
- Familiarity with stylesheet languages like CSS
- Web development tools and techniques like .NET and AJAX
- Cloud computing expertise

- Managing online data collection projects directly with clients
- Overseeing timelines, management, data quality, and datafiles
- Approving survey scripting/programming and final client links
- Manage sampling & quota requirements
- Approve final data files and quality checks for client deliverables
- Reporting to Operations Director
ESSENTIAL CRITERIA
- Min 3 years Project Management in research/data
- Excellent English verbal and written proficiency is essential
- You will have excellent attention to detail with strong analytical and organizational skills and the ability to prioritize and manage multiple tasks.
- University / tertiary qualification
- Statistics software is preferred but not mandatory
- Intermediate/advanced knowledge of Excel/Word/PowerPoint
We are hiring for one of our clients (building an immersive platform for creators, from India, which can be used by creators to create content and engage their audience across the world. And they are looking for smart and motivated 'Mobile Engineers' to help build it.
For this, they need someone who has working knowledge in building quality mobile apps in React-Native/Flutter, handling device specific aspects, etc.
Being a Mobile Engineer at this organization will be like a feeling to build something that millions of users across the world can interact with. You will be helping in setting forth the mobile-frontend culture and journey.
Also, experience the working in the early team, shape a startup from the grounds up and be a part of the high growth journey.
Key Responsibilities: -
1. Build and deploy product features end to end.
2. You will build high quality features for a mobile app from grounds up, and can use patterns like composition, inheritance, renderProps, etc.
3. Research and implement things wherever needed, think automating via Fastlane CI/CD, testing logically so it works across multi-resolution devices, etc.
4. Setting up events for user, performance, and error analytics, think GA, hotjar, sentry, etc.
5. Participate in product and design ideation, collaborate with the team to implement high-quality features.
Requirements: -
1. Solid foundation in JS and React Native.
2. Passionate about product and drives it with engineering.
3. Architectural familiarity of implementation, not just UI features.
4. 1+ years of experience in building quality apps in React Native.
5. Identify and resolve performance and device specific issues.
6. Can adapt to best practices and learn device specific things in Android/iOS.
7. Code quickly and test thoroughly - maintain the balance between velocity and code health.
8. Great taste in UI and UX
Perks: -
1. Become a part of our early team, and shape products from grounds up
2. Attractive compensation and esops.
3. Macbook pro
4. Empowered to build an amazing startup culture with us
5. Full ownership and massive growth opportunities
6. and more...
The organization is funded by India's top executives and angel investors.






