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Supercharge Your Career as a Senior Dev Engg - Full Stack at Technoidentity! At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact. What Will You Be Doing? ● Develop Java APIs for managing Jira components, facilitating smooth interaction with component data and team assignments. ● Build batch jobs to maintain mappings. Build new features. ● Collaborate with cross-functional teams. ● Optimize system performance and reduce operational costs through impactful optimizations and infrastructure enhancements. ● Stay updated with industry best practices and contribute to the adoption of these practices within the team. Requirements What Makes You the Perfect Fit? ● 5-9+ years of industry experience with a BS/Masters or 2+ years with a PhD, preferably in CS, or equivalent experience ● Proficiency in one or more back-end server languages (Java/Kotlin/C++/etc.) ● Fluency in HTML, CSS, JavaScript / Typescript, and related web technologies ● Experience working with multi threaded applications and syncing two online systems ● Experience with modern JavaScript libraries and tooling (e.g. React) ● Exposure to architectural patterns of a high-scale web applications, such as well-designed APIs, data pipelines and efficient algorithms ● Experience or desire to work collaboratively in cross-functional teams with design, product and data science partners

Supercharge Your Career as a QA Lead at Technoidentity! At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

Role: QA Lead Location: Hyderabad, India Experience Level: 10+ Years Employment Type: Full-Time What’s in it for You? Technoidentity is seeking a high-performing QA Lead to drive end-to-end quality engineering, test architecture, and performance strategies across enterprise Web and API applications. In this role, you will bridge technical execution and delivery leadership—owning the automation framework architecture (Playwright), leading load and stress testing strategies (JMeter/k6), and mentoring a high-performing team of QA engineers. What Will You Be Doing? Technical Leadership & Architecture Framework Design & Strategy: Architect, scale, and maintain robust, scalable UI and API automation frameworks using Playwright with TypeScript/JavaScript/Java. Performance Engineering: Define performance test strategies, workload models, and SLAs for Load, Stress, Spike, and Endurance testing using JMeter or k6. CI/CD & DevOps Integration: Integrate test suites seamlessly into DevOps pipelines (GitHub Actions, GitLab CI, or Jenkins) to facilitate continuous testing and shift-left practices. AI & Innovation: Lead the exploration and adoption of AI-powered QA tools and generative AI workflows to optimize test generation, execution speed, and coverage. Delivery & Stakeholder Management Quality Ownership: Define quality metrics, test strategy documents, and performance benchmarks (Response Time, Throughput, Resource Utilization). Cross-Functional Collaboration: Partner closely with Architects, Developers, DevOps, and Product Managers to identify root causes, troubleshoot performance bottlenecks, and recommend system tuning. Reporting & Visibility: Prepare executive dashboards, performance analysis reports, and release quality sign-offs for client stakeholders. Team Enablement & Governance Mentorship: Lead, code-review, and mentor QA engineers, setting coding standards for automation scripts. Agile Execution: Manage sprint planning, effort estimation, and task allocation for testing deliverables in Jira. What Sets You Apart Client-Facing Presence: Excellent verbal and written communication with demonstrated experience managing executive stakeholders and international clients. Strategic Problem-Solving: Ability to evaluate architecture, identify system bottlenecks, and suggest actionable performance tuning rather than just reporting errors. Self-Driven Leadership: Proactive mindset with a history of taking full ownership of enterprise delivery quality. Requirements What Makes You the Perfect Fit? Experience: 10+ years in Quality Engineering, with 5+ years leading QA teams or functioning as a Lead Engineer. UI & API Automation: Deep hands-on proficiency in Playwright paired with TypeScript, JavaScript, or Java. Performance Testing: Solid experience designing and executing performance tests using Apache JMeter or k6, including analyzing server metrics (CPU, Memory, Network) and identifying bottlenecks. Tech Stack: Hands-on experience with REST API testing (Postman, Rest Assure, or Playwright API), Git, Docker, and CI/CD tools. Test Management: Strong mastery of Agile practices, test management tools (Jira/Xray/Zephyr), and defect lifecycle management. Benefits Why Join Technoidentity? Work on high-impact, enterprise-scale, cloud-native solutions. Lead innovations at the intersection of Performance Engineering and AI-driven testing. Collaborative culture focused on continuous learning, mentorship, and accelerated career growth

Supercharge Your Career as a Technical Project Manager at Technoidentity! At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact. What’s in it for You? We are looking for a seasoned, techno-functional Project Manager who can own end-to-end delivery for multiple projects while building and growing a high-performing team of 15–18 people. This is a hands-on project management role that blends three dimensions: delivery excellence (on-time, first-time-right, within scope and cost), customer partnership (building trusted relationships and delivering measurable business impact), and people leadership (developing, upskilling, and growing your team). The ideal candidate is equally comfortable in a technical design discussion, a customer QBR, and a career conversation with a team member. What Will You Be Doing? Key Responsibilities 1. Delivery Execution & Ownership Own end-to-end delivery of projects/releases — on-time, first-time-right, and within the agreed cost, timeline, and scope. Drive project and release planning, including work breakdown, estimation, resource planning, dependency mapping, and risk-adjusted scheduling. Track and manage scope changes with disciplined change control; balance customer asks against commercial and timeline commitments. Proactively identify delivery risks and drive mitigation before they become escalations. 2. Quality & Continuous Improvement Define, track, and report quality metrics (defect density, leakage, first-time-right rate, SLA adherence, velocity/predictability). Institutionalize first-time-right practices: reviews, definition of done, test coverage, and release readiness gates. Drive continuous improvement through retrospectives, root-cause analysis, and measurable corrective actions carried into subsequent releases. 3. Customer & Stakeholder Management Build and deepen relationships with customer stakeholders at working and leadership levels; act as a trusted delivery partner, not just a status reporter. Own the cadence of customer communication — Weekly Status Reports (WSR), Monthly Business Reviews (MBR), and Quarterly Business Reviews (QBR) — with crisp, data-backed narratives on progress, risks, and value delivered. Build deep business and domain knowledge of the customer and the projects under the client portfolio; use that context to anticipate needs, shape solutions, and identify growth opportunities. Manage expectations transparently — communicate early on risks, trade-offs, and course corrections. 4. Governance, Reporting & Delivery Standards Ensure adherence to organizational delivery standards, processes, and governance frameworks across all projects. Maintain rigorous delivery hygiene: minutes of meetings, action-item tracking to closure, and up-to-date RAID logs (Risks, Assumptions, Issues, Dependencies). Provide accurate and timely internal reporting — project health, margins, utilization, staffing, and escalations — to delivery leadership. Work in synergy with support functions (HR, Talent Acquisition, Finance, IT, Operations) for staffing, invoicing, compliance, and enablement needs. 5. People Leadership & Development Manage, mentor, and grow a team of 15–18 engineers and leads — spanning goal setting, regular 1:1s, performance management, and career development conversations. Build individual upskill plans aligned to project needs and career aspirations; track progress and create stretch opportunities. Develop a leadership pipeline by identifying and grooming leads and anchors within the team. Foster a culture of customer-first, ownership, accountability, and continuous learning; manage performance issues early, fairly, and constructively. Drive team engagement, retention, and recognition. 6. Techno-Functional Contribution Participate credibly in solution and architecture discussions; challenge estimates and technical approaches where needed. Translate business requirements into technical direction for the team, and technical constraints into business language for the customer. Stay current with engineering practices (Agile/Scrum, DevOps, CI/CD, cloud, and AI-assisted development) and drive their adoption where they improve delivery outcomes. Requirements What Makes You the Perfect Fit? 8–10 years of overall experience in IT services, with at least 3–4 years managing delivery and teams of 12+ members. Strong techno-functional profile: an engineering background with hands-on technical experience earlier in the career, now combined with delivery and domain depth. Proven track record of on-time, within-budget delivery across multiple releases or projects. Demonstrated experience running customer governance cadences (WSR/MBR/QBR) and managing senior client stakeholders. Solid command of estimation techniques, release planning, quality metrics, and delivery governance artifacts (RAID logs, MoM, action trackers, status dashboards). Experience with Agile/Scrum and hybrid delivery models; working knowledge of tools such as Jira, Azure DevOps, or equivalent. Strong people-management credentials: performance management, upskilling, career development, and conflict resolution. Excellent written and verbal communication — able to produce crisp executive-level reporting and lead difficult conversations with confidence and empathy. Good to Have PMP, PRINCE2, CSM/PSM certification. Exposure to AI-assisted delivery practices and productivity tooling. Domain exposure (e.g., energy/utilities, real estate, or public sector). Experience contributing to presales, account growth, or delivery excellence initiatives. Education Bachelor's degree in Engineering / Computer Science or equivalent; MBA or equivalent management qualification is a plus.

Supercharge Your Career as a Senior Full-Stack Engineer at Technoidentity! At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact. Senior Full-Stack Engineer — Python, Temporal & AI Workflows (US) Technoidentity — Durable Product Engineering® What’s in it for You? You'll build internal apps, AI workflows, AI agents, and backend integrations powering Finance and Supply Chain operations for a Tier-1 client. The work spans Python services, React front-ends, API and enterprise integrations, and Temporal-based durable workflows — plus production support for what you ship. This is a hands-on IC role for engineers who move fast, build reliable software, and can drive ambiguous business workflows to done with minimal hand-holding. Some engineers in this role will be evaluated against the client's own senior engineering standards, so we hire people who can hold that bar. Requirements What Will You Be Doing? Build internal applications and tools end to end — Python backends, React front-ends, and the APIs between them. Design and implement AI workflows and AI agents that automate real Finance and Supply Chain processes. Model long-running, stateful business processes as durable Temporal workflows — orchestration, retries, human-in-the-loop steps, exception handling. Build backend and enterprise integrations (ERPs, finance/supply-chain systems, third-party APIs, internal services). Own production support for your systems: monitoring, debugging, incident response, and iterative hardening. Translate ambiguous business requirements into reliable, well-scoped software with limited direction. Benefits What Makes You the Perfect Fit? •5+ years building production software, with strong recent Python (async, typing, testing discipline). •Solid CS fundamentals — data structures, algorithms, complexity — strong enough to pass a rigorous coding interview. •Backend and API depth: designing, building, and integrating services; handling failure, idempotency, and data consistency. •Working React proficiency — can build and maintain functional front-ends for internal tools. •Proven ability to work through ambiguous business workflows independently and ship reliably and quickly. •Strong written and verbal communication; comfortable defending design decisions with client engineers. •Legally authorized to work in the US. Strongly preferred Hands-on Temporal (or equivalent durable-execution engines like Cadence, Step Functions) — understands determinism constraints, activity/workflow boundaries, signals/queries, durable timers, versioning, worker scaling. Experience building AI workflows or agents — LLM orchestration, tool/function calling, retrieval, evals, guardrails. Finance and/or Supply Chain domain exposure, or experience with enterprise system integrations. Production ownership: on-call, observability (logs/metrics/tracing), safe deploys. What makes a candidate stand out •Clean, testable, idiomatic code and a high personal quality bar — reviewers rarely need to ask twice. •Can decompose a vague, open-ended problem into a correct, incremental plan and explain the reasoning clearly. •Fast learner — picks up unfamiliar codebases, domains, and tools quickly. •Track record of shipping reliable systems in fast-moving, high-stakes environments.

Supercharge Your Career as a Senior Automation Tester at Technoidentity! At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact

Role: Senior Automation Tester What’s in it for You? Technoidentity is looking for a Senior Automation Tester with 5+ years of experience in Automation Testing and Performance Testing to work on enterprise Web, and API applications. The ideal candidate should have strong expertise in playwright, JMeter/k6, with hands-on experience in performance analysis, bottleneck identification, reporting. What Will You Be Doing? Design, develop, and execute automation test scripts with playwright using Java/JavaScript/TypeScript . Design, develop, and execute performance test scripts using JMeter/ k6. Perform Load, Stress and Spike Testing. Work on Web UI and REST API , Automation testing. Analyse application performance metrics, identify bottlenecks, and provide tuning recommendations. Validate application performance against defined Response Time, Throughput, Reliability, Scalability, and Resource Utilization SLAs. Prepare detailed performance test plans, execution reports, dashboards, and executive summaries. Collaborate with Developers, DevOps, Architects, and Business teams to resolve performance issues. Requirements What Makes You the Perfect Fit? 5+ years of hands-on experience in Automation Testing. Strong expertise in Playwright, Apache JMeter/ k6. Experience with Web, API and Performance Testing. Experience in using Jira, Git, and CI/CD pipelines. Experience in writing test scripts in Java/JavaScript/Typescript Strong analytical and troubleshooting skills with performance tuning experience. What We're Looking For Excellent verbal and written communication skills. Strong client-facing and stakeholder management experience. Self-driven, proactive, and willing to take ownership of deliverables. Ready to learn new technologies and continuously upskill. Passion for exploring and adopting AI-powered tools and technologies to improve testing efficiency and project delivery. Ability to work effectively in Agile teams and mentor junior engineers. Why Join Technoidentity? Work on enterprise-scale, cloud-native applications. Exposure to the latest Performance Engineering practices and AI-driven testing innovations. Collaborative work environment with excellent growth opportunities 5+ years of hands-on experience in Automation Testing.

Supercharge Your Career as a AI DevOps Engineer at Technoidentity! At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact. What’s in it for You? We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability. What Will You Be Doing? Develop and deploy AI/ML and Generative AI solutions using Python. Build applications leveraging LLMs, RAG, and AI agents. Create and maintain CI/CD pipelines for AI applications. Deploy and manage workloads using Docker and Kubernetes. Support cloud platforms (AWS, Azure, or GCP). Implement Infrastructure as Code (Terraform) and automation workflows. Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms. Collaborate with engineering teams to ensure system reliability, performance, and security. Contribute to MLOps practices, AI accelerators, and reusable frameworks. Requirements What Makes You the Perfect Fit? Python programming (mandatory) Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face Docker, Kubernetes, Git, and CI/CD tools AWS, Azure, or GCP PostgreSQL; MongoDB and Vector Databases are a plus Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal) Familiarity with observability and monitoring tools Qualifications Bachelor's degree in Computer Science, AI, Data Science, IT, or related field 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas Nice to Have Experience with Agentic AI frameworks Knowledge of MLOps and AI platform operations Exposure to enterprise-grade monitoring, reliability engineering, and security best practices

Supercharge Your Career as a Senior Data Engineer 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 15 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? The Tax Compliance Data Engineering team at Technoidentity is at the heart of how our global tech platform client manages and scales its finance and compliance data infrastructure. This team sits within the Biztech Data Engineering organization and handles critical data related to Tax, Payments, and Legal Compliance regulations. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with a strong emphasis on quality, scalability, and robust engineering practices. What Will You Be Doing? Our team charter is centered on enabling our stakeholders to comply with Tax, Payments, and Legal regulations so that platform participants can continue operating in regulated geographies. The products built by this team ingest, process, validate, and deliver large datasets to government authorities, often in partnership with tax bodies, which means data accuracy and quality are non-negotiable. As you build and maintain key components of the critical compliance data ecosystem, you will have the opportunity to contribute to defining standards and best practices for Data Engineering at scale. Your work on solving complex business challenges will directly shape the tools, processes, and standards used by the broader data community. A Typical Day Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interaction data, PII data, listing details, and external data feeds Develop data models that enable efficient analysis; ensure data quality, consistency, and accuracy across all pipelines Build high quality data assets for product use cases by partnering with cross-functional teams for compliance and reporting purposes Build scalable data pipelines using SparkSQL and Scala, leveraging Airflow as the scheduler and executor framework Collaborate with Data Scientists, Product Managers, and Software Engineers to define data requirements and deliver solutions that drive compliance and operational improvements Contribute to the broader Data Engineering community to influence tooling and standards, improving culture and productivity Improve code and data quality by leveraging and contributing to internal tools designed to automatically detect and mitigate issues Requirements What Makes You the Perfect Fit? 8+ years of relevant industry experience BE/B.Tech in Computer Science or a relevant technical discipline Hands-on experience in DSA coding (Data Structures and Algorithms) Extensive experience designing, building, and operating robust distributed data platforms (Spark, Kafka, Flink, HBase) with demonstrated ability to handle data at petabyte scale Strong understanding of Fintech, Ecommerce, or Booking Platform operating models Strong proficiency in Scala or Python, with deep expertise in data processing technologies and SQL query authoring Demonstrated ability to analyze large datasets to identify gaps and inconsistencies, surface insights, and drive effective data product solutions Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue, or similar frameworks Solid understanding of data warehousing concepts and hands-on experience with relational databases (PostgreSQL, MySQL) and columnar databases (Redshift, BigQuery, HBase, ClickHouse) Excellent written and verbal communication skills

Supercharge Your Career as a Senior Data Engineering Manager 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 15 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? The Core Datasets team within our Data Engineering organization is at the heart of how our company manages and scales its finance and non-finance data infrastructure. Our data engineers build and maintain the pipelines that power critical business decisions across the company. This includes finance and non finance business use cases and data pipelines that power their P0 needs (like how is the company adopting AI across Engg and Non Engg functions). You'll be joining a collaborative, cross-functional team that partners closely with finance stakeholders, analytics teams, and data owners across the organization. The Difference You Will Make As a Senior DE Platform Manager, you will sit at the intersection of product management and technical leadership — guiding a pod of data engineers to deliver high-quality, reliable pipelines across finance and non-finance data domains. You will own the roadmap, ensure engineering excellence, and be the primary accountability point for pod delivery and output, driving measurable impact on data quality and pipeline reliability at scale. At the same time, we want the candidate to bring in fresh ideas on how to leverage and implement AI agents at scale to solve complex data quality challenges around detective monitoring, data integrity, completeness, accuracy OR on how to accelerate current Core Datasets pipeline maintenance/ enhancements through AI agents What Will You Be Doing? Lead and manage a pod of data engineers working on Core Datasets pipelines, providing technical and logical guidance on pipeline design, data modeling, and architecture decisions Own and maintain a healthy, prioritized Jira backlog; manage sprint planning, dependency tracking, and delivery milestones to ensure engineers always have clear, unblocked work Partner closely with finance and non finance stakeholders to gather, document, and prioritize data requirements; collaborate with non-finance teams to deliver analytics and data pipelines as needed Review and validate pipeline logic, data quality rules, and transformation specs authored by the engineering team Ensure pipelines are designed to scale and align with the company's evolving data infrastructure, including the migration to Data Morph Quickly triage and mobilize the right team members when pipeline failures occur Balance roadmap items across finance-related and non-finance data pipelines to ensure continuous, well-sequenced delivery In parallel, work with DE on AI Ideation, experimentation, POCs maturing them to production ready deliverables. Requirements What Makes You the Perfect Fit? Proven experience managing or leading a team of data engineers, with strong technical fluency in pipeline design, data modeling, and data quality practices Demonstrated ability to own and manage a complex, multi-stakeholder engineering roadmap Experience with sprint planning, backlog management, and delivery tracking (Jira or equivalent) High level business understanding of finance processes around Treasury Intercompany, Collections, Revenue Operations, Cash Operations, Indirect Taxes. Prior experience working in high volume B2C platform in a platform manager role is a plus Strong understanding of data infrastructure and warehouse concepts around big data, data lakes, star schema, batch processing. Previous experience working with file systems like AWS (with DE teams). Familiarity with big data file formats like Hive, Iceberg Basic understanding of coding platforms/ languages like Spark/ Scala, Data Morph, dbt, or similar transformation frameworks is a plus Excellent cross-functional communication skills — able to partner effectively with finance and non-finance stakeholders to translate business needs into engineering requirements Comfortable operating in a fast-paced environment with shifting priorities and multiple concurrent workstreams

Supercharge Your Career as a Software Engineer – Backend 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 15 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 looking for a highly motivated Senior Backend Developer with 3-5 years of experience to join our team. The ideal candidate will have strong backend development expertise, a deep understanding of distributed systems, and a high sense of ownership. This role requires working independently on POCs and projects while also mentoring junior team members and enabling scalable delivery. What Will You Be Doing? Design, develop, and maintain scalable backend systems and services. Work independently on project implementations and backend solution development. Implement distributed architecture design patterns to build reliable and high performance systems. Collaborate with cross-functional teams to deliver robust backend solutions. Guide and mentor junior developers, ensuring quality implementation and adherence to best practices. Participate in system design discussions, code reviews, and technical decision-making. Ensure high ownership in delivering solutions aligned with project timelines and goals. Requirements What Makes You the Perfect Fit? 3+ years of backend development experience. Strong expertise in Java. Hands-on experience with distributed systems and architecture design patterns. Strong database development skills with PL/SQL. Strong problem-solving and critical thinking abilities. Excellent team coordination and collaboration skills. High sense of ownership, accountability, and commitment towards project delivery. Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field. Good to Have Skills: Exposure to Cloud platforms (AWS or GCP) Understanding of Frontend technologies or DevOps practices Experience with workflow orchestration tools such as Temporal or similar platforms. Work Requirements: Willingness to work in the US or flexible shift timings based on project requirements. Ability to work independently on POCs/projects and help scale additional pods of work. Guide and direct junior team members to ensure proper implementation.

At Technoidentity, we’re a Data + AI product engineering company delivering scalable, modern enterprise solutions. We are seeking a seasoned Senior Database Developer & PostgreSQL Expert with 8–10 years of experience across multiple database systems, with deep hands-on 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. Requirements Key Responsibilities 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. Ideal Candidate Profile Experience & Skills 8–10 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.