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Supercharge Your Career as a Principal Lead Developer 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? Technoidentity is building a high-impact Temporal Capability Center to design, deliver, and scale resilient workflow-orchestration solutions for enterprise customers. We are seeking a hands-on, technically strong Principal Lead Developer who combines deep software-engineering expertise with solution-architecture leadership, distributed-systems knowledge, and an ownership mindset. This role is suited to a resourceful engineer who can independently take multi-faceted business and technical requirements from discovery through design, implementation, rollout, and operational improvement. You will work directly with overseas clients, shape architecture decisions, lead multiple technical workstreams, and mentor junior developers while remaining actively involved in code, design reviews, and delivery. The ideal candidate has strong practical experience in Python, Java, and/or TypeScript, has experience with Cloud Platforms, understands modern AI-assisted engineering practices. Experience with distributed workflow solutions using orchestration platforms such as Temporal, Cadence, Camunda, or similar technologies will be preferred, but is not a requirement. Requirements What Will You Be Doing? Lead the end-to-end technical delivery of workflow-orchestration and distributed-systems solutions for enterprise clients. Design robust, scalable, secure, and observable architectures using durable execution, asynchronous messaging, APIs, event-driven patterns, and cloud-native components. Build production-grade services and workflow implementations using Python, Java, and/or TypeScript. Design and implement long-running business processes using orchestration frameworks such as Temporal, Cadence, Camunda, or equivalent platforms. Apply distributed-systems principles to address reliability, idempotency, retries, timeouts, compensating transactions, eventual consistency, failure recovery, and data consistency. Design and implement Saga patterns, including orchestration-based and choreography-based approaches, for multi-service business transactions. Lead architecture discovery sessions, technical workshops, solution presentations, and design reviews with overseas clients and internal stakeholders. Translate business requirements into clear solution architectures, implementation plans, technical specifications, estimates, and delivery milestones. Drive multiple concurrent technical streams, identify dependencies and risks early, and maintain delivery quality under changing priorities. Establish engineering standards for workflow design, API contracts, error handling, versioning, testing, deployment, observability, and operational readiness. Use AI-assisted SDLC practices responsibly to improve developer productivity, code quality, test coverage, documentation, and delivery velocity. Design and contribute to agentic orchestration solutions, including coordination of AI agents, tool/API integrations, workflow state management, guardrails, human-in-the-loop controls, and evaluation approaches where relevant. Perform hands-on development of critical components, prototypes, integrations, and reference implementations. Conduct code reviews and architectural reviews, ensuring solutions are maintainable, performant, secure, and aligned with engineering best practices. Mentor and guide junior developers; support technical growth through pairing, reviews, reusable patterns, technical sessions, and constructive feedback. Collaborate with delivery, product, platform, QA, DevOps, security, and client teams to ensure successful implementation and production adoption. Contribute reusable assets, accelerators, templates, documentation, and best practices to the Temporal Capability Center. Benefits What Makes You the Perfect Fit? Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline, with 6+ years of relevant work experience. Significant professional software-development experience, including experience leading technical delivery and mentoring engineering teams. Strong hands-on proficiency in at least one of the following languages: o Python o Java o TypeScript Demonstrated experience designing and building distributed, scalable, highly available, or event-driven systems. Strong understanding of microservices architecture, REST and/or asynchronous APIs, message-driven systems, and integration patterns. Practical expertise with distributed-systems concerns, including: o Idempotency and duplicate-message handling o Retries, backoff, timeouts, and circuit-breaking strategies o Failure handling and recovery o Eventual consistency and data synchronization o State management for long-running processes o Observability, logging, metrics, tracing, and operational debugging Strong understanding and practical application of the Saga pattern and compensating-transaction design. Experience designing solution architectures and communicating technical trade-offs to both engineering and business stakeholders. Ability to lead junior developers through technical direction, task decomposition, code review, and mentorship. Strong written and verbal communication skills in English. High ownership, self-motivation, adaptability, and the ability to make sound decisions in ambiguous and fast-moving environments. Preferred Qualifications Production experience with Temporal, Cadence, Camunda, AWS Step Functions, Azure Durable Functions, Netflix Conductor, Apache Airflow, or comparable orchestration technologies.. Experience migrating from legacy schedulers, BPM platforms, or synchronous microservice flows to durable workflow orchestration. Experience building agentic or AI-enabled applications using LLMs, tool calling, agent frameworks, retrieval-augmented generation, MCP, guardrails, or evaluation frameworks. Practical use of AI coding assistants and AI-aided SDLC workflows for planning, implementation, testing, code review, documentation, and troubleshooting. Cloud-native development experience on AWS, Azure, Google Cloud Platform, or a hybrid-cloud environment. Experience with Kubernetes, Docker, CI/CD pipelines, Infrastructure as Code, and container-based deployments. Experience with event-streaming and messaging platforms such as Kafka, RabbitMQ, cloud queues, or pub/sub systems. Experience with relational and NoSQL databases, data-modeling strategies, and transactional/outbox patterns. Experience with API gateways, security controls, OAuth/OIDC, secrets management, and secure service-to-service communication. Familiarity with domain-driven design, event sourcing, CQRS, and enterprise integration patterns. Experience in technical consulting, pre-sales support, solution accelerators, or client-facing technical leadership. Leadership Expectations As a Principal Lead Developer, you will be expected to: Act as a trusted technical advisor to clients and internal delivery teams. Balance architecture leadership with hands-on engineering execution. Proactively identify problems, propose practical solutions, and drive them to completion without waiting for detailed direction. Manage and prioritize several workstreams while communicating progress, risks, decisions, and dependencies clearly. Raise engineering quality through reusable standards, design patterns, code reviews, and mentoring. Build confidence with clients through technical depth, clarity, responsiveness, and reliable delivery. Foster a collaborative, accountable, learning-oriented engineering culture within the Temporal Capability Center. Success Measures Success in this role will be measured by: Delivery of reliable, scalable, and maintainable orchestration solutions that solve real client problems. Quality of solution architecture, code, technical documentation, and operational readiness. Effective application of workflow-orchestration and Saga patterns to complex distributed business processes. Ability to independently lead client-facing technical discussions and turn them into executable delivery plans. Delivery predictability across multiple concurrent technical initiatives. Measurable improvement in engineering productivity and quality through AI-assisted SDLC practices. Growth, engagement, and technical effectiveness of junior developers under your guidance. Contribution of reusable Temporal Capability Center assets, reference architectures, and best practices. Why Join Technoidentity’s Temporal Capability Center? Work on complex, high-value enterprise workflow and distributed-systems challenges. Help shape a specialized capability center focused on durable execution, orchestration, AI-enabled delivery, and modern architecture. Collaborate with overseas clients and multidisciplinary global teams. Influence technical standards, reusable accelerators, and the future direction of orchestration solutions at Technoidentity. Take on a role with meaningful architecture ownership, technical leadership, and hands-on engineering impact.

Proposal Development Analyze RFP/RFQ/RFI documents to identify submission requirements, evaluation criteria, compliance matrices, and key deadlines. Develop proposal outlines, compliance matrices, and content calendars in coordination with capture managers and subject matter experts (SMEs). Write, edit, and format clear, compelling, and compliant proposal responses including technical narratives, executive summaries, past performance write-ups, staffing plans, and pricing narratives. Coordinate inputs from SMEs, sales, legal, finance, and delivery teams to ensure accuracy and completeness of proposal content. Maintain and update a proposal content library, boilerplate language, resumes, case studies, and past performance references. Ensure all submissions meet formatting, page limits, font, and submission requirements specific to government and commercial solicitations. Support red team/pink team/gold team reviews and incorporate feedback within tight turn around times. Basic graphic design sensibility for improving visual proposal layouts (using Word/InDesign/Canva). Preferred Qualifications Experience conducting competitive intelligence or incumbent research to support capture and pricing strategy. Experience supporting proposals in staffing and IT services sectors. Requirements 1–4 years of experience in proposal writing, bid/proposal research, technical writing, business development support, or a related field. Prior exposure to SLED and/or commercial RFP processes in the U.S. market (staffing, IT services, consulting, construction, or similar industries preferred). Demonstrated experience researching and tracking government/commercial solicitations using online bid portals, procurement databases, or opportunity-tracking tools. Strong written and verbal communication skills with excellent grammar, editing, and proofreading abilities. Strong organizational skills with the ability to manage multiple deadlines simultaneously. Proficiency in Microsoft Word, Excel, PowerPoint, and Adobe Acrobat; familiarity with SharePoint or proposal management tools (e.g., Loopio, RFPIO/Responsive) is a plus. Bachelor's degree in English, Communications, Business, Journalism, or related field (or equivalent experience).

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 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 Software Engineer – Backend 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 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.