Current Jobs

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