Integration Engineer

Overview

Provide consultative business and system integration services to help clients implement effective solutions, translating customer needs into business and technology solutions and leading transformation discussions.

What you'll do

• Act as an SME, collaborate with and manage the team to deliver outcomes, and take responsibility for team decisions.
• Engage with multiple teams, contribute to key decisions, and provide solutions to problems that apply across teams.
• Lead the development and implementation of integration strategies that align with organizational objectives.
• Facilitate effective communication between technical teams and business stakeholders to ensure clarity and alignment.
• Mentor junior team members by providing guidance and support to enhance their professional growth.
• Continuously evaluate integration processes and recommend improvements to optimize performance and scalability.
• Develop, instrument and troubleshoot observability solutions using Python.

What you'll need

• Minimum 12 years of experience in Python frameworks.
• 15 years full time education.
• Strong hands-on experience in Python for developing, instrumenting, and troubleshooting observability solutions.
• Medium to high level understanding of OpenTelemetry (OTEL) architecture, including traces, metrics, logs, context propagation, semantic conventions, and instrumentation patterns.
• Proficiency in Python frameworks, AWS CloudFormation, Elastic Stack (ELK), and Large Language Models (LLMs).
• Strong experience designing and developing scalable integration solutions using Python-based technologies.
• In-depth knowledge of cloud infrastructure and automation tools to support deployment and monitoring.
• Expertise in managing and analyzing large datasets using Elastic Stack components for operational insights.
• Familiarity with natural language processing and large language model applications to enhance integration capabilities.
• Ability to troubleshoot complex integration issues and provide effective resolutions in a timely manner.
• Some experience implementing observability using OTEL/EDOT SDKs, auto instrumentation, manual instrumentation, and custom telemetry for Python and other enterprise applications.
• Working knowledge of Elastic Stack, including Elasticsearch and Kibana, for log analytics, distributed tracing, designing dashboards and operational troubleshooting.
• Good understanding of Agentic AI observability, including tracing multi-agent workflows, LLM interactions, tool execution, memory access, orchestration flows, and end-to-end request correlation.
• Good understanding of environments such as Kubernetes, containers, microservices, and REST APIs, with experience instrumenting production workloads.

Nice to have

• Experience designing and maintaining observability pipelines, including telemetry collection end points, enrichment, routing, sampling, and performance optimization across distributed systems.
• Experience with Elastic APM and Elastic Distribution of OpenTelemetry (EDOT), including deployment, configuration, and integration with enterprise observability platforms.

Details

• Based at the Bengaluru office.