Top Tech Jobs & Startup Jobs in Hyderabad

Develop and support mobile software features and flexible services in a collaborative agile team. Troubleshoot issues across operating systems, databases, applications, JavaScript, and networks. Design microservices and APIs, write unit tests, support production systems, follow technology trends, and mentor engineers. The role requires hands-on full-stack development using Java, AWS, SQL, and React or Angular, along with technical decision-making, collaboration, training, and a strong focus on software quality.

Lead software engineering efforts within an agile financial services team by designing, developing, testing, debugging, and supporting secure, scalable applications. The role requires advanced Java, Python, Spark, AWS, and SQL expertise, cloud-native experience, SDLC proficiency, and operational resiliency knowledge. It also involves promoting responsible AI-assisted development, automating recurring remediation, reviewing code, and evaluating vendor and architectural solutions.

Investigates complex ATM exceptions and customer claims involving deposits, withdrawals, and payments. Performs account and transaction analysis, determines credit reversals, directs accounting adjustments, and ensures reconciliation and regulatory compliance. Communicates outcomes within service-level agreements, manages case inventory, protects sensitive customer information, mentors peers, and helps improve procedures and job aids while reducing fraud and losses.

Leads technology support teams responsible for application and infrastructure service delivery, pre-production stability, observability, incident resolution, and change management. Builds dashboards using Splunk, Dynatrace, and Grafana; monitors environments; troubleshoots cloud and on-premises systems; and promotes AI-assisted operational workflows with human validation. The role also coordinates stakeholder communications, manages P2 incidents, and improves resiliency, security, and automation practices.

Defines end-to-end architectures for agentic AI, intelligent triage, and root-cause analysis platforms. Designs multi-agent systems, autonomous investigation workflows, human-in-the-loop controls, evaluation frameworks, and AI monitoring. Architects integrations across data, engineering, manufacturing, and AI platforms using APIs, microservices, and orchestration layers. Provides technical leadership, architectural governance, mentoring, and executive alignment while establishing standards for AI engineering, MLOps, and AgentOps.

Defines enterprise data architecture for AI-driven triage and root-cause analysis systems. Designs data lakes, semantic layers, knowledge graphs, vector databases, schemas, ingestion pipelines, APIs, and governance frameworks. Establishes data quality, lineage, security, and observability standards across engineering and manufacturing domains. Enables GraphRAG, hybrid retrieval, agentic AI workflows, and low-latency inference at scale while partnering with cloud and infrastructure teams.

Investigate and resolve complex card fraud and non-fraud disputes in compliance with card scheme rules and regulations. Manage daily workloads, meet SLAs and KPIs, maintain accurate records, identify workflow improvements, escalate complex issues, and collaborate with Customer Support, Compliance, and Product teams on evidence gathering and fraud trends.

Leads the design, development, and maintenance of scalable .NET and cloud-based microservices across Azure and AWS. Provides technical leadership through architecture, code and design reviews, mentoring, performance optimization, troubleshooting, and cloud cost analysis. Establishes CI/CD, automated testing, infrastructure-as-code, and deployment practices while ensuring scalability, availability, and non-functional requirements. Collaborates across teams to define solutions, estimate work, integrate systems, and evaluate emerging AI, machine learning, and cloud technologies.

Owns technical delivery and product outcomes for complex online credit risk initiatives. Translates strategy into multi-team roadmaps, manages priorities, dependencies, risks, compliance, release readiness, and adoption. Partners with Engineering, Data Science, Analytics, Compliance, Operations, and other stakeholders to deliver scalable solutions. Leads discovery through post-launch improvement, influences without authority, establishes delivery governance, and coaches junior technical product managers.

Lead complex Scaled Agile portfolios, coach Scrum teams, optimize delivery velocity, remove systemic impediments, and drive Agile transformation. Facilitate Scrum practices, governance, risk escalation, stakeholder collaboration, and metrics-based continuous improvement. Mentor Scrum Masters and support engineering teams adopting cloud, AI, Java, DevSecOps, automation, platform engineering, and modern software delivery practices while meeting regulatory, security, and quality requirements.

Own end-to-end batch and real-time data pipeline delivery using Databricks, Spark, Python, PySpark, dbt, and Kafka. Design transformation architecture, CI/CD pipelines, DataOps and observability frameworks, and administer Databricks environments. Lead streaming solutions, deployments, migrations, and upgrades while optimizing performance, access, and cost. Partner with stakeholders on requirements and technical trade-offs, mentor engineers, and lead code and design reviews.

Supports HITRUST, HIPAA, and SOC 2 readiness, certification, and recertification activities. The role assists with gap remediation, implements and monitors security controls, provides HITRUST and MyCSF guidance, prepares audit findings and compliance reports, collaborates with IT and security teams, and supports compliance training and ISMS responsibilities.

Lead architecture and development of highly distributed, enterprise-scale cloud security systems. Establish coding, testing, observability, and CI/CD standards; guide technical decisions; and drive cross-team initiatives in performance, reliability, and technology adoption. Build Java and Go services using microservices, databases, cloud infrastructure, identity and access management, and fault-tolerant distributed systems. Apply AI/ML and agentic AI technologies to improve engineering outcomes.