Integration Engineer

Project Role : Integration Engineer

Project Role Description : Provide consultative Business and System Integration services to help clients implement effective solutions. Understand and translate customer needs into business and technology solutions. Drive discussions and consult on transformation, the customer journey, functional/application designs and ensure technology and business solutions represent business requirements.

Must have skills : Python Frameworks, AWS CloudFormation, Elastic Stack (ELK), Large Language Models (LLMs), Agentic AI, observability using OTEL/EDOT

Good to have skills : NA

Minimum 12 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary:

As an Integration Engineer, a typical day involves engaging closely with clients to offer expert advice on business and system integration challenges. This role requires understanding client requirements thoroughly and translating them into practical technology and business solutions. The day often includes leading discussions on transformation initiatives, mapping out customer journeys, and designing functional and application architectures that align with business goals. Collaboration with various stakeholders to ensure that the implemented solutions meet the intended business needs is a key aspect of daily activities, fostering seamless integration across systems and processes.

Roles & Responsibilities:

- Expected to be an SME, collaborate and manage the team to perform.

- Responsible for team decisions.

- Engage with multiple teams and contribute on key decisions.

- Expected to provide solutions to problems that apply across multiple 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.

- Strong hands-on experience in Python for developing, instrumenting, and troubleshooting observability solutions - Mandatory

- Medium to high level understanding of OpenTelemetry -OTEL - architecture, including traces, metrics, logs, context propagation, semantic conventions, and instrumentation patterns (Mandatory)

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Python Frameworks, AWS CloudFormation, Elastic Stack (ELK), Large Language Models (LLMs).

- Strong experience in 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. (Mandatory)

- Experience designing and maintaining observability pipelines, including telemetry collection end points, enrichment, routing, sampling, and performance optimization across distributed systems. (Desirable)

- Good understanding of environments such as Kubernetes, containers, microservices, and REST APIs, with experience instrumenting production workloads

- Good to have: Experience with Elastic APM and Elastic Distribution of OpenTelemetry (EDOT) , including deployment, configuration, and integration with enterprise observability platforms.

Additional Information:

- The candidate should have minimum 12 years of experience in Python Frameworks.

- This position is based at our Bengaluru office.

- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

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